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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role As a member of our tight knit physical design team, you will be working on the design and analysis of 3D integrated products. This role involves a combination of traditional ASIC/SoC physical design skills, packaging, power, clock and cooling analysis. You will work closely with the architecture and RTL team to do R&D on novel concepts for 3D integration.  Skills and Qualifications Required      10+ years of physical design/verification experience.      Strong knowledge of block level and full-chip physical verification methodology.      Expert at optimizing for the best power/performance and area.     Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.      Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.      Expert with IR/EM analysis and resolution.     Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.      Demonstrated ability to work with RTL teams to optimize for physical design.     Knowledge of 2.5D or 3D packaging solutions. Preferred         Experience doing full chip floor planning and integration.        Knowledge of clock distribution.     Knowledge of cooling analysis. The salary range for this position is $150,000 – $270,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.   Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:At Crusoe Energy Systems, our Site Reliability Engineering (SRE) team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The Storage-focused SRE role is responsible for ensuring the availability, performance, and scalability of Crusoe’s cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale.What You'll Be Working On:In this role, you will build automation and self-healing tools to monitor and maintain Crusoe’s distributed cloud storage infrastructure, which includes block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You’ll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments. What You’ll Bring to the Team:5+ years of professional experience in SRE, systems, or storage engineering.Hands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms.Proficiency in a programming language such as Python, Go, Java, or C.Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet.Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling.Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF.Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker).Excellent incident response, troubleshooting, and documentation practices.Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure)Excellent communication skillsMust be able to pass a background checkEmbody the Company valuesBonus Points:Contributions to open-source storage projects or the Linux storage stack.Experience with hybrid storage models across on-prem and cloud environments.Familiarity with high-throughput network topologies for storage backplanes (e.g., RoCE, RDMA, InfiniBand)..Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:At Crusoe Energy Systems, our SRE team plays a mission-critical role in maintaining the performance and reliability of our AI-optimized cloud infrastructure. The Storage-focused Site Reliability Engineer role is responsible for ensuring the availability, performance, and scalability of Crusoe’s cloud storage products and services, which power compute-intensive, latency-sensitive workloads for AI and HPC use cases. This role directly supports our vertically integrated, sustainable cloud platform by building and optimizing distributed, fault-tolerant storage systems at scale.What You'll Be Working On:In this role, you will build automation and self-healing tools to monitor and maintain Crusoe’s distributed cloud storage infrastructure, which includes block, file, and object storage systems. You will drive reliability initiatives focused on data replication, encryption, backup and restore strategies, and robust failover mechanisms. Collaborating closely with storage engineers, you will help implement and maintain high-performance NVMe- and SSD-backed volumes that support large-scale AI compute clusters. Your responsibilities will also include supporting user-facing storage services with a focus on availability, performance tuning, and adherence to error budgets. You’ll investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling, while also partnering with hardware and kernel teams to diagnose low-level I/O issues and optimize I/O paths, cache policies, and file systems. Additionally, you will contribute to the architecture of fault-tolerant, scalable storage backends tailored for AI-first cloud environments. What You’ll Bring to the Team:8+ years of professional experience in Storage SRE, systems engineering, storage engineering, or similar rolesHands-on experience with distributed storage systems (e.g., Ceph, GlusterFS, OpenEBS) and deep understanding of object, block, and file storage paradigms.Proficiency in a programming language such as, Go, Python, Java, or C.Experience with Infrastructure as Code and deployment tooling such as Terraform, Ansible, or Puppet.Deep knowledge of Linux internals with a focus on I/O subsystems, memory management, and storage scheduling.Familiarity with storage protocols like NFS, SMB, iSCSI, or NVMe-oF.Strong experience working with containerized workloads and orchestration platforms (e.g., Kubernetes, Docker).Excellent incident response, troubleshooting, and documentation practices.Experience with building and operating managed services at scale such as object, file and block storage (AWS, GCP, Azure)Excellent communication skillsMust be able to pass a background checkEmbody the Company valuesBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation Range:Compensation will be paid in the range of $204,000 - $247,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model. What’s the Job?We are seeking a Senior Machine Learning Engineer with expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to join our innovative team. This role will focus on developing and deploying state-of-the-art NLP models that power webAI’s platform. If you have experience in working with transformer models, language generation, and advanced text analytics, this is the perfect opportunity to apply your skills on groundbreaking AI technology.You’ll collaborate closely with our research and engineering teams to design, build, and optimize models that work with both structured and unstructured language data. The ideal candidate will bring experience deploying production-level NLP models, as well as expertise in MLOps practices and scalable cloud infrastructure. Key Responsibilities:Design, build, and fine-tune LLMs and NLP models (e.g., GPT, BERT) for tasks like language understanding and generation.Extend webAI’s existing LLM frameworks and libraries, incorporating the latest research in language models.Preprocess and prepare text datasets for training, including tokenization and feature extraction.Implement MLOps best practices for deploying scalable, production-level models on cloud platforms.Collaborate with cross-functional teams to integrate LLM models into the webAI platform.Stay updated on LLM advancements and apply the latest research to improve model performance.Required Skills & Experience:5+ years of experience in machine learning, with a focus on NLP and LLMs.Bachelor’s (Master’s preferred) in Computer Science, Machine Learning, or related field.Expertise in transformer architectures (e.g., GPT, BERT), text preprocessing, and feature engineering.Proficiency in Python and NLP libraries (Hugging Face, TensorFlow, PyTorch).Experience with MLOps tools (MLFlow, Kubeflow, etc.).Strong communication skills and passion for learning. We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful ad learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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 About Us: webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.  About the Role: We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models.  Responsibilities: Lead the development and optimization of Large Language Models and Mixture of Experts models. Collaborate with cross-functional teams to integrate ML models into our platform.Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies. Mentor junior engineers and contribute to the team’s knowledge sharing and best practices.  Qualifications: Advanced degree (Ph.D. preferred) in Computer Science, or a related field. Proven track record of innovations through publications or industry experience.Minimum of 5 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts. Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch. Demonstrated ability to lead complex projects and work collaboratively in a team environment.Excellent problem-solving skills and a passion for innovation.  Preferred Skills: Experience with cloud computing services (AWS, Azure, GCP). Knowledge of Big Data technologies (Hadoop, Spark).Familiarity with containerization and orchestration technologies (Docker, Kubernetes).Publications or presentations in recognized Machine Learning journals or conferences.  We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following: Truth - Emphasizing transparency and honesty in every interaction and decision. Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement. Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others. Benefits: Competitive salary and performance-based incentives. Comprehensive health, dental, and vision benefits package. $200/mos Health and Wellness Stipend $400/year Continuing Education Credit Flexible work week Free parking, for in-office employees Unlimited Approved PTO Parental, Bereavement Leave Supplemental Life Insurance  webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role  As a Lead Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering.  What You Might Do  Drive the design, implementation, and scaling of recommendation and retrieval algorithms for our AI Companion app Set the technical vision for vector search and similarity matching models to identify relevant documents across structured and unstructured data Analyze user interactions and system performance to guide algorithmic improvements Partner with cross-functional leaders in ML, infrastructure, and product teams to deploy fast and efficient RAG workflows Build and maintain retrieval indexes optimized for latency and memory  Mentor and guide engineers across the team, fostering best practices in experimentation, model evaluation, and production deployment. Essential Qualifications  8+ years of software development experience with exposure to ML engineering Deep expertise in recommender systems, embeddings, and ranking models Proven experience building or scaling document search or retrieval systems Strong understanding of vector databases (e.g., FAISS, Pinecone, Qdrant) Proficient in Python and one systems language (e.g., C++, Java)  Preferred Skills  Background in LLM integration or fine-tuning for RAG workflows Industry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends) Experience with ML pipeline tools (Airflow, Ray, TorchServe) Previous experience improving search relevance, click-through rate, or long-term engagement  Salary Range:  $175,000 - $275,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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Business runs on contracts. Every dollar earned, relationship formed, and advantage gained comes down to the contract that makes it real. But getting a contract done is more complicated than it should be. And when contract data is buried, leaders can’t see risks, obligations, or act in time.Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or selling, Ironclad unifies the entire process on one intelligent platform, providing leaders with the visibility they need to stay one step ahead. That’s why the world’s most transformative organizations, from OpenAI to the World Health Organization and the Associated Press, trust Ironclad to accelerate their business. We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work six years running, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn. This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Engineering @ IroncladAs a Senior Staff Software Engineer at Ironclad, you'll work cross-functionally to identify business problems and architect, build, and verify solutions. You'll build a platform that lets lawyers scale themselves and their businesses 100x more effectively. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.Ironclad’s core pillar designs and operates the critical infrastructure and shared services that underpin every product and feature across the company. As part of this team, you’ll work on the infrastructure and shared services that enable Ironclad’s entire product ecosystem to run reliably, securely, and at scale. Our work spans a wide range of technical domains — from managing our cloud infrastructure, to data pipelines and near–real-time streaming engines, our object metadata store, document processing systems, and public API infrastructure. We also own key platform capabilities such as identity and access management, as well as Ironclad’s front-end design system that supports a consistent user experience.What you'll do:Collaborate cross functionally with product managers, designers, and other engineers to spec, design, and build features and systemsPartner with quality engineers to define, build and maintain testing strategyLead technical discussions, mentor and provide thoughtful feedback to other engineers on the teamGrow your teams by interviewing and recruiting talented engineers to IroncladWork on a modern stack built upon: TypeScript, ReactJS, Node.js, Java, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)What we look for:At least 7+ years of software experience architecting, building, launching and maintaining complex systems (a formal degree is not required, we are prioritizing industry experience)Leadership across teams and a drive towards improving overall technical architecture and achieving company-wide goalsPassion for software engineering to build and ship great productHands-on experience shipping valuable products to production with real user feedbackA high bar for qualityStrong cross-team communication and collaboration skillsIronclad’s Values: drive, intent, integrity, and empathyBase Salary Range:Senior Staff Software Engineer: $245,000 - $270,000Benefits at Ironclad:100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options availableMarket-leading leave policies, including gender-neutral parental leave and compassionate leaveFamily forming support through Maven for you and your partnerPaid time off - take the time you need, when you need itMonthly stipends for wellbeing, hybrid work, and (if applicable) cell phone useMental health support through Modern Health, including therapy, coaching, and digital toolsHome office setup stipend to make your space work for youPre-tax commuter benefits (US Employees)401(k) plan with Fidelity with employer match (US Employees)Regular team events to connect, recharge, and have funAnd most importantly: the opportunity to help build the company you want to work atPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!As a Software Engineer on the Collect team, you will:Contribute to building critical internal tools and applications relied upon by hundreds of Cohere employeesWork with a small talented and enthusiastic team of software engineers.Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and occasionally server code.Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks.Identify and remove roadblocks to enable your team to increase its engineering velocity.Build resilient systems that are mission-critical.Keep up with the cutting edge and adopt new technologies to improve performance and reliability.You may be a good fit if:You’ve shipped fast and snappy web apps loved by many users.You have experience shipping products with a large number of stakeholders.You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python.You’ve mentored other engineers and are passionate about developing other junior folks.You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs.You’re excited to add new technologies to your toolbox and use them where it makes sense.You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!Your responsibilityServe as the first iOS engineer in North America, driving growth initiatives and acting as an objective owner across multiple products, with strong upside through Agent Opus (Q1/Q2).Design, plan, and build the OpusClip iOS app from the ground up with scalability, performance, and maintainability in mind (with future expansion to Android).Collaborate closely with the PM as the technical lead, contributing to product roadmap discussions, scoping, and tradeoff decisions.Provide technical feedback during design reviews to ensure feasibility, performance, and alignment with mobile best practices.Integrate appropriate SaaS tools (analytics, monitoring, experimentation frameworks, etc.) to support operational excellence and data-driven iteration.Hire, mentor, and lead future mobile engineers, fostering a strong technical culture and setting high execution standards.QualificationsDeep passion for AI-native applications and social media ecosystems.5–8 years of experience building and scaling mobile apps, with proven impact on international markets, payment systems, or media platforms, or experience in a top-tier or high-growth consumer app.Demonstrated success optimizing scalability in a 1→10 startup environmentProficient in developing modern iOS applications (Swift, UIKit) and familiar with Android best practices.Strong ability to analyze product specs and designs, ensuring tech feasibility and high-quality execution.Highly self-driven, motivated, and hands-on problem-solving skillsSkilled at breaking down complex engineering scopes into milestones and delivering results with consistency and clarity.Preferred experiencesExperience working on mobile video editing productsExperience working on native AI agentic projects or mobile appsLocationWeWork, Burnaby, BC (On-site)EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.As a Senior Research Scientist, Model Evaluation, you will:Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.Build scalable and reusable tools for digging into model performance.You may be a good fit if:You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.You have strong software engineering skills.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Scale AI is seeking a highly technical and strategic Staff / Senior Staff Machine Learning Engineer to act as the Tech Lead (TL) for our next generation of deep research agents for the Enterprise. This high-impact role will drive the technical direction and oversight for Deep Research Agent Development, translating cutting-edge research in Generative AI, Large Language Models (LLMs), and Agentic Frameworks into robust, scalable, and high-impact production systems that enhance enterprise operations, analytics, and core efficiency. The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. Responsibilities Technical Leadership & Vision Set the Technical Roadmap: Define and own the technical strategy, architecture, and roadmap for Deep Research Agents for the Enterprise, ensuring alignment with Scale AI’s overall AI strategy and business goals. Drive Breakthrough Research to Production: Lead the end-to-end development, from initial research to production deployment, to landing on customer impact, with a focus on integrating diverse data modalities. Core Agent Capabilities Development: Advanced Knowledge Retrieval: Architect and implement state-of-the-art retrieval systems to ensure the agents provide accurate and comprehensive answers from public and proprietary data sources from enterprises. Data analysis: Design and champion the development of data analysis agents that accurately translate complex natural language queries into executable SQL/code against diverse enterprise data schemas. Multimodal Intelligence: Lead the integration of Multimodal AI capabilities to process and extract structured information from visual documents, tables, and forms, enriching the agent's knowledge base. Architecture & Design: Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale. Technical Excellence: Serve as the technical authority for the team, leading design reviews, defining ML engineering best practices, and ensuring code quality, security, and operational excellence for all agent systems. Team Leadership & Mentorship Lead and Mentor: Technically lead and mentor a team of Machine Learning Engineers and Research Scientists, fostering a culture of innovation, rigorous engineering, rapid iteration, and technical depth. Recruiting & Growth: Partner with management to hire, onboard, and grow top-tier talent, helping to shape the long-term structure and capabilities of the team. Cross-Functional Influence: Collaborate effectively with Product Managers, Data Scientists, and other engineering/science teams to translate ambiguous, high-level business problems into concrete, executable technical specifications and impactful agent solutions. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 8+ years of experience in software development, with at least 6 years focused on Machine Learning, Deep Learning, or Applied Research in a production environment. 2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain. Deep expertise in Generative AI and Large Language Models (LLMs). Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale. Experience with large-scale distributed systems and real-time data processing. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization. Practical experience with Multimodal AI, specifically integrating OCR and vision-language models for document intelligence and structured data extraction from images/forms. Proven experience in one or more relevant deep research areas: Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems. Experience with vector databases and advanced retrieval techniques. A track record of publishing research papers in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR, KDD). Excellent written and verbal communication skills, with the ability to articulate complex technical vision to executive stakeholders and technical peers. Experience driving cross-team technical initiatives that have delivered significant business impact. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000—$315,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.This role is hybrid (2 days in-office) for Uruguay-based candidates and Remote for Argentina-based ones.About the RoleAs a Senior Software Engineer at AirOps, you’ll help design and deliver core features across our AI-powered platform. You’ll work across the stack—from crafting backend services in Ruby on Rails to building intuitive, performant interfaces with React.In particular, this role will take ownership of a key initiative to expand and improve our integrations framework—making it easier for users to connect to the tools they already use and enabling new, powerful workflows. You’ll work closely with Product and CX to understand needs, prioritize capabilities, and deliver seamless, reliable integrations.We’re looking for engineers who thrive in fast-paced environments, take pride in building high-quality products, and are motivated by the opportunity to make meaningful contributions in a collaborative and dynamic team.Key Responsibilities:Design, develop, and maintain full stack features across the AirOps platformCollaborate cross-functionally to define technical solutions that meet user and business needsWrite clean, scalable, and well-tested code in both frontend and backend systemsReview code, mentor teammates, and help uphold engineering best practicesOwn and improve key parts of the application—from performance to architectureStay up-to-date with the latest developments in AI, data, and web technologiesContribute to a strong culture of experimentation, iteration, and shipping fastQualifications:5+ years of experience building production-ready software across the stackProficiency in Ruby on RailsSolid experience working with ReactExperience with modern web development tools (e.g., TypeScript, Tailwind, Webpack, PostgreSQL, Redis)Strong understanding of RESTful APIs and system design principlesExperience building or maintaining third-party integrations is a plusProduct-minded: able to balance engineering quality with pragmatic trade-offs to move fastInterest in or experience with Generative AI and related technologiesDemonstrated initiative and aptitude to make independent decisions and resolve complex challenges in a remote environmentBachelor’s degree in Computer Science or equivalent experienceNice to Have:Experience working on AI/ML or LLM-based productsFamiliarity with CI/CD and cloud platforms (AWS, Heroku, Vercel, ECS)Experience with observability tools like Datadog or SentryOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!The Selection ProcessSilver.dev Recruiter ScreenSilver.dev Live Coding ScreenCTO ScreenAirOps Technical AssessmentCEO Screen

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Mobile Full Stack Engineer, you’ll design and develop our cross-platform command-and-control mobile app, the interface operators use to plan, monitor, and control autonomous missions in real timeResponsibilitiesBuild intuitive, real-time mobile operator dashboards for command & control.Develop cross-platform (Android/Embedded Linux) interfaces optimized for ruggedized Android hardware.Integrate mobile front-end with backend APIs for telemetry, mission planning, and AI systems.Collaborate with UX and backend teams to implement a unified design system.Ensure reliability, security, and offline performance under field conditionsCandidate RequirementsEducation: B.S./M.S. in Computer Science, Software Engineering, or related field.Experience: 5-8 years’ experience in mobile software engineering. Experience integrating mobile apps with backend APIs and real-time data.Technical Skills: Proficiency with Flutter or React Native and cross-platform UI design.Mindset: Strong understanding of performance optimization and secure code practices.Bonus: Background in gaming, defense, or aerospace; experience with real-time or simulation systemsCommitment: 100% dedication to Harmattan AI’s mission, vision, and ambitious growth plans, ready to go the extra mile to ensure operational excellence.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: DMV area (D.C. / Maryland / Virginia) / On-siteCompensation: $155K-$185K + equity + benefitsStart Date: November 2025We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About the TeamThe Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the RoleWe are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.The nature of this role will be low volume, high difficulty.This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.Design and refine incident response processes and documentation across strategic customers, engineering and support teams.Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.Provide support coverage during holidays and weekends based on business needs.You might thrive in this role if you:Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis.Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools.Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications.Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. As an AI Tutor - Data Science specialist, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff  to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Regularly require you to interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must be either an IMO medalist (or similar competition medalist) or possess a Master's or PhD in a data science related field. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various information resources, databases, and online resources are essential. You display outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material. You have a strong passion for and commitment to technological advancements and innovation. Preferred Qualifications Possesses experience with at least one publication in a reputable journal or outlet. Has previous AI Tutoring experience. Teaching experience (as a professor, teacher, or tutor). You possess experience in technical writing, journalism, or a professional writing setting. Professional background as a Data Scientist Location, Hourly, and Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles. xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.   You will: Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions Transition AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous Partner with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains Lead a cross-functional team to exceed the customer’s AI/ML objectives Support and partner across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States   We have a diverse team with a variety of skill sets, many have: 5+ years of professional experience, often in a customer-facing technical program management role in industry or government. A proven track record in B2B or government client facing roles and expanding client relationships Prior experience leading engagements with government customers Must haves: An active TS/SCI clearance Minimum of 3 years of work experience leading teams / programs in industry or government  A basic understanding of ML operations process A track record of structured, analytics-driven problem-solving Excellent verbal and written communication skills Willingness to travel at least 25% of the time Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of California is:$163,900—$245,300 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Scale’s Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world’s most important decisions. As an AI Deployment Strategist you will be right at the center of it, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will take full ownership of our deployment success, turning bold ideas into real impact and ensuring every engagement delivers exceptional results. In this role, you will work directly with data, engineering, business and AI leaders at some of the world’s top Enterprises. You will guide projects from the first conversation through delivery, expansion, and measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. This is a fast-moving, high-impact role that blends customer strategy, operations, product strategy and execution. You will lead the team that serves as the voice of the customer and ensure their flawless execution of customer projects. You will own: Client Leadership & Growth: Own relationships with key enterprise customers and ensure every engagement runs smoothly, delivers value, and grows over time. Flawless Delivery & Execution: Manage delivery across multiple workstreams, ensuring timelines, quality standards, and SLAs are met. Strategic Account Expansion: Identify and pursue new opportunities within existing accounts that drive measurable business impact. Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations to remove blockers, drive efficiency, and continuously improve how we deliver. Strategic Feedback Loop: Synthesize and communicate insights from customer engagements to help inform the long-term product roadmap and strategic direction. Mastering Complexity & Ambiguity: Bring structure, clarity, and momentum to complex projects in dynamic environments. Ideally, you’d have: 5+ years of work experience in high-growth, high-ambiguity environments. Successful candidates have had experience in MBB consulting, banking or private equity or as a technical product or program management role in the tech industry, but we are open to alternative profiles. A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field) Exposure to GenAI solutions via your current role or personal projects  A proven track record in building and expanding client relationships Ability to understand the ML concepts and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Willingness to travel up to 50% depending customer and deployment needs Nice to have: Exposure to enterprise AI or data infrastructure products. Deeper industry knowledge in healthcare, consumer, financial services Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$158,400—$198,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models.About the RoleWe are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure ResponsibilitiesWe are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. Ensuring the above models meet the expected performance Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. Write technical documentation, examples and notebooks to demonstrate new features Sharing & Advocating your work and the results with the community. About YouYou'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. Experience in building MLOps pipelines for containerizing models and solutions with Docker Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful Ability to write clear documentation, examples and definition and work across the full product development lifecycle Bonus: Experience with Svelte & TailwindCSS More about Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

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About the TeamSecurity is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.About the RoleWe're seeking an exceptional Principal-level Offensive Security Engineer to challenge and strengthen OpenAI's security posture. This role isn't your typical red team job - it's an opportunity to engage broadly and deeply, craft innovative attack simulations, collaborate closely with defensive teams, and influence strategic security improvements across the organization. You'll have the chance to not only find vulnerabilities but actively drive their resolution, automate offensive techniques with cutting-edge technologies, and use your unique attacker perspective to shape our security strategy. This role will be primarily focused on continuously testing our hardware products and related services.In this role you will:Collaborate proactively with engineering teams to enhance security and mitigate risks in hardware, firmware, and software.Perform comprehensive penetration testing on our diverse suite of products.Leverage advanced automation and OpenAI technologies to optimize your offensive security work.Present insightful, actionable findings clearly and compellingly to inspire impactful change.Influence security strategy by providing attacker-driven insights into risk and threat modeling.You might thrive in this role if you have:7+ years of hands-on experience or exceptional accomplishments demonstrating equivalent expertise.Exceptional skill in code review, identifying novel and subtle vulnerabilities.Demonstrated mastery assessing complex technology stacks, including:Proven ability to reverse engineer bootrom images, firmware, or silicon-level components.Deep familiarity with low-level kernel operations, secure boot processes, and hardware-software interactions.Hands-on experience building and validating secure boot chains and threat models.Proficiency with hardware debugging tools (UART, JTAG, SWD, oscilloscopes, logic analyzers).Solid programming skills in C/C++, Python, or assembly for embedded systems.Industry experience securing consumer hardware (e.g., mobile devices, IoT, chipsets).Excellent written and verbal communication skills for technical and non-technical audiences.Strong intuitive understanding of trust boundaries and risk assessment in dynamic contexts.Excellent coding skills, capable of writing robust tools and automation for offensive operations.Ability to communicate complex technical concepts effectively through compelling storytelling.Proven track record of not just finding vulnerabilities but actively contributing to solutions in complex codebases.Bonus points:Prior experience working in tech startups or fast-paced technology environments.Experience in related disciplines such as Software Engineering (SWE), Detection Engineering, Site Reliability Engineering (SRE), Security Engineering, or IT Infrastructure.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.Why This Role?This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.In this role, you will:Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectationsDesign and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.You may be a good fit if:You have experience with and enjoy working directly with customersYou have experience deploying enterprise software in private/hybrid cloud environmentsYou have proven experience administering production Kubernetes clusters and expertise with HelmFamiliarity with DevOps practices, CI/CD pipelines, and tools like Git for version controlYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)