The AI job market moves fast. We keep up so you don't have to.

true

AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

false

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: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available.  Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute.  You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.    Responsibilities:  Analysis of new models from generative AI field and understanding of impacts on compilation stack  Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).  Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis. Work with ML and compiler teams to ensure fidelity and performance parity with native PyTorch. Collaboration with other teams throughout feature implementation  Research on new methods for model optimization to improve Cerebras inference   Qualifications:  Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability  Strong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo). Solid understanding of computational graphs, tensor operations, and model tracing. Experience building or extending compilers, interpreters, or ML graph optimization frameworks. Familiarity with C++ extensions, LLVM, MLIR, or other IR-based compiler infrastructures. Experience working with PyTorch and HuggingFace Transformers library Knowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)  Knowledge of MLIR based compilation stack is a plus Preferred Qualifications Prior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX, or similar compiler stacks. Knowledge of hardware accelerators, quantization, or runtime scheduling. Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs). Understanding of numerical precision trade-offs and operator lowering. Contributions to open-source ML compiler projects.    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.

false

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll DoDevelop and own the end-to-end strategy for public cloud utilization, driving maximum ROI, revenue efficiency, and gross margin improvement.Lead execution of utilization initiatives by aligning cross-functional stakeholders across GTM, Product, Engineering, Marketing, Partnerships, and FP&A.Diagnose and address root causes of underutilization through targeted solutions - including pricing strategies, GTM motions, sales plays, partnerships, or product enhancements.Translate utilization strategies into actionable GTM plays and customer engagement plans to accelerate adoption and optimize cloud usage.Partner with senior leadership to prioritize initiatives, secure alignment, and ensure measurable business outcomes.Serve as the primary owner and voice of public cloud utilization strategy in executive forums, shaping business direction with data-driven insights.Prepare and deliver executive-level briefings on utilization performance, pipeline alignment, and financial impact.Collaborate with C-level leadership to ensure cloud utilization strategy aligns with company growth and operational goals.Build and maintain dashboards and reporting to provide visibility into public cloud utilization, availability, and revenue impact.Partner with capacity planning, cloud operations, and FP&A to analyze revenue, cost structures, margin opportunities, and forecast accuracy.Metrics owned - % Public cloud utilization and associated revenue growth, revenue per unit of cloud capacity consumed, Net Revenue Retention (NRR) tied to cloud services, customer base performance (active, growth, churn), gross margin impact of utilization initiatives, and utilization forecast accuracy (planned vs. actual).YouHave 7+ years of experience in GTM strategy, business operations, or cross-functional leadership roles within public cloud, SaaS, or infrastructure organizations.Possess a strong ability to influence senior executives and communicate actionable insights in board-level and C-suite settings.Demonstrate a proven track record of developing strategies, securing buy-in, and leading execution with measurable outcomes.Bring strong financial and analytical acumen, with the ability to link utilization metrics directly to growth, margin, and profitability.Have cross-functional leadership experience, collaborating effectively with GTM, Product, Engineering, and Finance teams.Are comfortable driving complex, high-impact programs across multiple stakeholder groups.(Preferred) Hold an MBA or equivalent experience in cloud business strategy and operations.(Plus) Bring product or program management experience in a cloud infrastructure context.Nice to HaveExperience in the machine learning or computer hardware industrySalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

CSQ426R239 We have 2 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

true

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Are you passionate about the AI market and highly skilled in competitive analysis?  Dataiku is seeking a strategic, analytical, and action-focused Principal Competitive Analyst to join our Competitive Intelligence team within Corporate Strategy. In this critical role, you’ll help us develop a deep understanding of the competition, drive market differentiation, shape strategic battle plans, and create enterprise-wide impact.  Join us in shaping the future of enterprise AI! This is your opportunity to play a key role in one of the most transformative industries of the last 20+ years. Building on our established CI foundation, you'll have strategic cross-functional impact in the rapidly evolving Agentic AI market.   How you’ll make an impact:  Analyze competitive moves and market dynamics, transforming critical insights into actionable strategies that inform market scenarios. Present strategic analysis and actionable recommendations to Senior leadership, Technology, Marketing, and Revenue teams. Support our go-to-market teams with competitive strategies that help us win more at scale. Directly support deals where needed. Relentlessly collect field intelligence, including through active monitoring of the market, participation in conferences, developing an extensive network of field connections, and our win-loss program. Work closely with Sales Enablement to scale the distribution of effective competitive training resources. Ensure all CI content meets high-quality standards. Independently lead research projects supporting our corporate strategy function.   What you'll need to be successful:  Bachelor's degree in a technology-related field or equivalent experience   7+ years in competitive intelligence, management consulting, product marketing, or related strategic roles, with 5+ years focused specifically on competitive analysis Excellent analytical skills and a solid understanding of the technology markets, with the ability to detect, analyse, and proactively respond to competitive threats that impact sales performance Proven track record of supporting sales success through competitive assets, deal support, and sales team coaching Excellent written and verbal communication skills, with the ability to present effectively to diverse audiences, including account executives, sales engineers, technical product managers, and executives. Strong organizational skills and ability to manage multiple priorities in a dynamic environment  Self-driven with a strong bias for action and a drive to enhance market positioning Willingness to travel up to 20% for conferences, sales events, and meetings in New York and Paris offices   What will make you stand out: Passion for Competitive Intelligence: Genuine enthusiasm for CI work, market dynamics, and using competitive insights to drive business impact. Deep experience in the data science and ML platform ecosystem and/or modern data stack technologies, plus knowledge of the emerging agentic AI market and competitive dynamics across the data-to-insights value chain. Tenacity and drive: a relentless commitment to help us differentiate in the market and win more deals. Strong team player: collaborates effectively with international and cross-functional teams, contributing to a positive and productive team environment.  Intellectual curiosity and critical mindset: willingness to continuously learn about market trends, Dataiku, and competitor platforms, and ability to dig under the product marketing surface. Flexibility and agility: thrive in a fast-paced Enterprise AI market, quickly adjusting strategies, and creating new competitive playbooks as needed. Innovative problem solver: bring creative solutions to complex challenges.   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

false

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 Network Engineer on the Cluster Architecture Team, you will work closely with the vendors, internal networking teams and industry peers to develop best-in-class interconnect architecture of the current and future generations of the Cerebras AI clusters. You will be responsible for developing proof-of-concept of new network designs and features enabling resilient and reliable network for AI workloads. The role will require cross-functional collaboration and interaction with diverse hardware components (e.g., network devices and the Wafer-Scale Engine) as well as software at several layers of the stack, from host-side networking to cluster-level coordination. The role also requires understanding of network monitoring systems and network debugging methodologies. Responsibilities Design AI/ML and HPC Clusters with a focus on the network technology. Identify and address performance or efficiency bottlenecks, ensuring high resource utilization, low latency, and high throughput communication. Stay current on emerging networking technologies: evaluate new hardware, fabrics, and protocols to improve cluster performance, scalability, and cost efficiency. Drive technical projects involving multiple teams, various software and hardware components coming together to realize advanced networking technologies. Bring effective communication skills. Collaborate with vendors and industry peers to drive network hardware and feature roadmap. Pre-deployment readiness & port mapping: build/validate rack/row and patch-panel port maps, cabling plans, if required in rare cases. Bring-up & rare deployment debugging: assist with lab/staging validation, packet captures, link level diagnostics, and synthetic traffic tests. Skills & Qualifications Ph.D. in Computer Science or Electrical Engineering + 10 years industry experience or Master’s in CS or EE + 15 years industry experience. 5+ Years of experience in large scale network designs in WAN or Datacenter. Extensive experience debugging networking issues in large distributed systems environment with multiple networking platforms and protocols. Experience of managing and leading multi-phase and multi-team projects. Networking platforms like Juniper, Arista, Cisco, open-box architectures (SONiC, FBOSS). Networking protocols like RoCE, BGP, DCQCN, PFC, streaming telemetry. Familiarity with automation languages like Python or Go. Familiarity with network visibility and management systems. 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.

false

About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.   What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.   What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills.   #LI-AK1

false

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, we build computers for AI, and the developers shaping its future. Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment. We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation. The Deputy BD Lead will support the amplification of this sovereign AI strategy by identifying opportunities, managing client relationships, and supporting go-to-market execution across the Gulf Cooperation Council (GCC) region. Reporting to the BD Lead for GCC region, this position will work closely with both regional leadership and global counterparts to build an Open Future.  This role is hybrid, based out of Dubai, UAE or Abu Dhabi, UAE. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Passionate about sovereign AI solutions and open source software. Commercially minded with strong business development and client engagement skills. Thrive in fast-paced, high-growth environments and can balance strategic thinking with hands-on execution. A confident communicator, able to engage and collaborate effectively with senior stakeholders, partners, and customers. Results-oriented, organized, and capable of managing multiple opportunities simultaneously.   What We Need Experience in the AI hardware or software market, with an understanding of ecosystem dynamics and emerging trends, including enterprise, government, and strategic partner landscapes. Strong relationships with GCC-based clients, system integrators (SIs), and independent software vendors (ISVs)  Proven track record in pipeline development, client relationship management, and closing commercial opportunities. Experience working with cross-border teams and managing multi-stakeholder initiatives. Fluency in English is required. Proficiency in Arabic is highly preferred.   What You Will Learn To throw out the old playbook and drive strategic growth in the rapidly evolving AI hardware and software ecosystem. Go-to-market strategies across the GCC from start to finish Negotiating strategic partnerships with enterprises, governments, and ecosystem partners. Building a regional network while collaborating with global BD, product, and technical teams. Deeper expertise in market analysis, sales operations, and deal execution.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

false

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for an Home Operations Associate for the Helix Fleet Ops team. The team is responsible for orchestrating Figure’s Home-use case massive collection operations (i.e. home data collection and deployment). Responsibilities: You will help drive successful in-home robot data collection operations by supporting project prioritization and execution under the guidance of the Helix Fleet Operations Manager. Examples include: Supporting the execution of offsite deployments — i.e., all activities related to the successful deployment of humanoids and collection operations in residential environments (logistics, homeowner interface, etc.) Leading cross-functional planning and coordination across Engineering and Pilot teams to achieve the critical goals of Helix data collection and model development Designing and tracking key data collection metrics, performing analyses, and developing tools, processes, and dashboards to improve performance Defining and refining data collection methodologies to meet the evolving needs of the Helix model Requirements:  2-4 years in operations strategy, consulting, startup project management, or similar roles Excellent problem-solving and decision-making abilities Excellent communication skills especially using data Able to work well under pressure while managing competing, time-sensitive demands Proficiency in Google Workspace (e.g., Sheets) and operational management tools Low ego, team player with can-do attitude Bonus Qualifications:  Experience with robotics or AI data collection. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $90,000 - $120,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

false

Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a founding member of Reflection’s Applied AI team, responsible for building our Forward Deployed Engineering function. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a founding Forward Deployed Engineer, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.Key ResponsibilitiesPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic solutions leveraging state-of-the-art models, orchestrating complex LLM workflows, integrating with enterprise infrastructure, and deploying robust production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.Lead end-to-end deployment across hybrid environments (public cloud, VPC, or on-premises), ensuring scalability, performance, and reliability.Shape the Forward Deployed Engineering organization by defining playbooks, processes, best practices, and technical foundations to support the team's growth.QualificationsStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

false

About the TeamThe ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.About the RoleWe are looking for an experienced fullstack engineer to join our new ChatGPT Growth team to spearhead high-impact projects that amplify the user base of ChatGPT and Plus Subscribers. Your role will include projects such as optimizing account access, notifications, SEO, fostering value discovery, and virality. As we are in the nascent stages of growth at OpenAI, we will rely on you to discover pivotal areas where strategic bets or incremental efforts can catalyze significant impact. We value engineers who are impact-driven, autonomous, adept at discerning crucial insights from experimental results, and have a strong intuition for how to remove barriers to unlocking the magic of ChatGPT.In this role, you will:Drive long-term growth of ChatGPT through a combination of data analysis, product ideation, and experimentation to optimize product experiences.Plan and deploy backend APIs necessary to power these product experiences.Execute on projects by working closely with research, product, design, data science and other members of product teams to land impact on product goals.Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group-think.You might thrive in this role if you:Shipped features on web that optimize the user funnel, such as landing pages, product pages, purchase flows, search flows, etc.Are highly analytical and have experience designing and implementing A/B tests, with a scientific approach to data-based experiments. You know exactly what and how to track business metrics and KPIs.Have a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with othersAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryAbout 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.

false

About UsHippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.About the RoleAs an AI Engineer at Hippocratic AI, you’ll play a pivotal role in shaping the future of voice-based generative AI in healthcare. You’ll design and build the intelligent systems that power our clinically safe healthcare agents, working at the intersection of large language models, real-time voice, and human-centered product design.This is a deeply hands-on and cross-functional role, partnering closely with AI researchers, product managers, and clinical experts to bring advanced language and speech models into production. From building scalable RAG and multi-agent pipelines to conversational interactions, your work will directly influence how patients and providers safely interact with generative AI at scale.We’re looking for experienced engineers who are passionate about AI in the real world—people who love taking cutting-edge research, turning it into robust products, and advancing the frontier of what’s possible in safe, agentic healthcare systems.What You'll Do:Design, build, and optimize production-grade AI pipelines that power our voice-based generative healthcare agents—from retrieval-augmented generation (RAG) to multi-step reasoning systems.Collaborate cross-functionally with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences.Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming architectures—balancing innovation with reliability.Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts.Drive continuous improvement in model evaluation, safety testing, and observability, ensuring every agent interaction meets clinical safety standardsWhat You BringMust Have:3+ years of professional experience in software, ML, or AI engineering.Proven track record building and shipping AI- or ML-powered products in production environments.Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).Excellent communication, cross-functional collaboration, and an ability to move fast in high-impact domains.Nice-to-Have:Experience building or deploying LLM-based or multi-agent systems at scale.Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.Prior exposure to healthcare, safety-critical domains, or regulated product development.If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything

false

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Team At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking an Operations Manager. As an Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact. About the Role Build and refine ticketing processes to streamline operations and improve response times Design and implement automated form processes that reduce manual work and improve data collection Create automated email workflows to enhance communication and operational efficiency Develop custom queries to extract actionable insights from operational data Leverage Zapier, Airtable, and other no-code/low-code tools to connect systems and automate workflows Data & Insights Design scalable data workflows that leverage internal tools, external vendors, and various pieces of automation Drive faster decision-making abilities for the team by exposing key insights from within the process Determine user information that is missing, which leads to user experience improvements Cross-Functional Impact Maximize marketplace efficiency and work with cross-functional partners to raise issues and implement corrective actions Grow our user base through implementation of retention and incentivization programs Partner with teams across the organization to identify operational bottlenecks and implement solutions Manage external partnerships and be a point of contact for them in resolving issues About You 3+ years of experience in operations, project management, or related roles Proven track record of building and optimizing operational processes from the ground up Strong analytical skills with experience creating queries and extracting insights from data Excellent project management abilities with attention to detail and follow-through Experience with process automation tools (e.g., Zapier, Make, or similar platforms) Proficiency with collaboration and database tools (Airtable experience a plus) Strong communication skills and ability to work effectively with cross-functional teams Basic Requirements Experience with CRM systems Familiarity with SQL or other query languages Background in technical operations or working with engineering/product teams Experience in a fast-growing startup or technology company Knowledge of email automation platforms Personal Attributes Self-starter who thrives in ambiguous environments and can build structure from scratch Systems thinker who can see the big picture while managing detailed execution Problem-solver who enjoys identifying inefficiencies and implementing creative solutions Collaborative team player who can influence without authority Continuous learner excited to pick up new tools and technologies    Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

false

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking a Foundry Technologist to drive the evaluation and enablement of cutting-edge process technologies (4nm and below) for our next-generation AI and CPU silicon. You'll be our strategic interface with leading foundries, ensuring optimal technology selection and qualification while collaborating with design teams to maximize PPA. If you're passionate about pushing the boundaries of semiconductor technology and want to shape the foundation of revolutionary AI hardware, join our team. This role is hybrid, based out of Austin, Santa Clara, or Fort Collins.  We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are A technology expert with deep understanding of advanced CMOS processes and foundry ecosystems. Strategic thinker who can evaluate complex trade-offs between PPA, cost, and time-to-market. Experienced collaborator who bridges foundry partners and internal design teams effectively. Detail-oriented professional who ensures technology readiness and drives optimal yield strategies.   What We Need Bachelor's/Master's in EE/CE with 5+ years of foundry technology and advanced node experience. Proven expertise working with foundries on technology qualification and Design Technology Co-Optimization (DTCO). Hands-on experience with PDK evaluation, library characterization, and PPA optimization. Strong background in synthesis, PnR flows, and understanding of deep sub-micron design challenges.   What You Will Learn How to shape technology strategy for industry-leading AI accelerators on the most advanced nodes. Cutting-edge DTCO techniques and early technology assessment methodologies. Strategies for optimizing yield and binning for high-volume AI hardware manufacturing. Direct influence on technology roadmaps through foundry partnerships and internal collaboration.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

false

Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Chicago/Elk Grove Village Data Center location 5 days per week. The Operations team is at the heart of keeping our AI-IaaS infrastructure running smoothly from start to finish. They handle everything from sourcing the right hardware and components to keeping our data centers performing at their best day in and day out. The team also works closely across the company, making sure our operational capabilities stay in sync with product goals and overall strategy. By managing the entire lifecycle — from procurement through deployment and ongoing efficiency — the Operations team ensures our AI infrastructure stays reliable, scalable, and ready to support the business as it grows.What You’ll DoMake sure new servers, storage, and networking gear are racked, labeled, cabled, and configured the right way.Keep data center layouts and network topologies up to date in our DCIM software.Coordinate with supply chain and manufacturing teams so systems are deployed on time, especially for large-scale projects.Evaluate current and future data center needs based on growth and technology trends.Manage parts depot inventory and track equipment as it moves from delivery → storage → staging → deployment → handoff.Work closely with hardware support teams to get tickets resolved quickly.Create and manage RMA tickets when needed, making sure faulty parts are replaced and reinstalled without delay.Develop and maintain installation standards (placement, labeling, cabling) to ensure consistency across all data centers.Act as a subject matter expert on data center deployments, supporting sales engagements for major deployments in our facilities or at customer sites.YouSourcing & ProcurementResearching, evaluating, and securing the right hardware and infrastructure components.Building relationships with peers and supply chain to ensure cost-effective and timely supply.Data Center OperationsMonitoring day-to-day performance of data centers to maintain uptime and efficiency.Troubleshooting and resolving hardware or infrastructure issues quickly.Performing regular maintenance and upgrades to keep systems running at peak performance.Deployment & Lifecycle ManagementOverseeing the full lifecycle of infrastructure, from initial setup to ongoing optimization.Coordinating deployments of new hardware and ensuring seamless integration with existing systems.Managing capacity planning to make sure infrastructure can scale with business growth.Cross-Team CollaborationWorking with product management, support, and other teams to align operational capabilities with company goals.Translating business priorities into technical and operational requirements.Supporting cross-functional projects where infrastructure plays a critical role.Reliability & ScalabilityEnsuring infrastructure remains stable, secure, and scalable as demand increases.Continuously improving processes to boost efficiency and reduce downtime risks.Nice to HaveCertifications: Any Linux or project management.Military background.Experience in the machine learning or computer hardware industrySalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

false

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration. We are seeking an Electrical Test Engineer to join the Test Infrastructure team responsible for developing and maintaining the electrical test systems that power integration, validation and HIL across Figure’s humanoid robot program. This role is highly hands-on and technical, combining electrical engineering, test automation, and hardware integration to ensure the performance, reliability, and scalability of Figure’s test infrastructure. Key Responsibilities: Design and develop electrical test systems, including schematics, wiring harnesses, PCBA interfaces, and safety interlocks. Build and maintain benchtop and rack-mounted test fixtures for subsystem and full-robot validation. Collaborate with Systems Integration and Validation teams to define test requirements and electrical coverage for bring-up and EOL workflows. Develop and execute test plans and procedures for electrical systems, focusing on power integrity, communication interfaces, and fault detection. Perform debug, diagnostics, and root cause analysis for electrical and system-level issues on test stands and prototypes. Create and maintain Python-based test automation scripts to enable automated data collection, logging, and verification. Specify and integrate instrumentation and measurement equipment, including oscilloscopes, power analyzers, load banks, DAQs, and PSU controllers. Document test system designs, calibration procedures, and test workflows to ensure repeatability and scalability. Contribute to continuous improvement of electrical test infrastructure and reliability processes across multiple robot programs. Requirements: Bachelor’s degree or equivalent experience in Electrical Engineering, Mechatronics, or a related field. 4–7 years of experience designing, testing, or validating electrical systems or test equipment. Strong understanding of power distribution, grounding, and safety standards. Proficiency with lab instrumentation (oscilloscopes, PSUs, DAQs, power analyzers, multimeters). Experience designing test fixtures, harnesses, or interface boards for validation or production testing. Familiarity with Python or similar scripting languages for automation and data analysis. Proven ability to debug complex electrical systems, interpret schematics, and work cross-functionally. Experience designing PCBAs Excellent attention to detail and documentation practices. Bonus Qualifications: Familiarity with hardware-in-the-loop (HIL) or continuous integration test environments. Background in robotics or embedded systems validation. Knowledge of AC/DC power electronics, load control, or high-voltage safety design. The US base salary range for this full-time position is between $130,000 and $250,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

true

AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

false

About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. Language Fluent in English or Chinese. #LI-AK1  

true

AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: up to $150k/year (DOE) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

false

About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are bringing joy back to the practice of medicine, and we’re looking for experienced backend software engineers to join our growing US-based engineering team. You’ll be an inaugural member of a new team forming to build the data + processing foundations we need to support our continued growth. You’ll work primarily in Typescript and Node, and you’ll deploy on platforms like Kubernetes and Temporal.What You'll DoDesign, build, and support the robust cloud-native applications, services, and APIs we need for our rapidly-growing business. Sample projects might include building a new processing pipeline or overhauling our data storage services to support increasing scale.Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security. Make quality-of-life improvements to the codebase, and help limit the growth of technical debt.Build deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines including product, machine learning, and platform engineering, and will have opportunities to learn from and contribute to projects across the company.What You’ll Bring7+ years of software engineering experience with either: (1) Proven track record of rapidly mastering new technologies and languages - you're the engineer who can pick up TypeScript/Node and be productive quickly, or (2) Deep specialization in Node.js backend development - you've built complex, scalable Node-based systems and know the ecosystem inside and outExperience building and deploying a complex backend system utilizing TemporalPassion for engineering excellence, and a love for data and architecture Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUSTKnowledge of industry best-practices and trends, and an enjoyment of learning new thingsWilling to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyStrong plus for ability and desire to work in San Francisco or New York on a hybrid working basisMust be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.