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Join our client's team as a Geologist – AI Trainer, where your geological expertise will help shape the next generation of artificial intelligence models in earth sciences. In this groundbreaking role, you'll use your knowledge of field mapping, rock and mineral identification, and geoscience data analysis to train AI systems on complex geological concepts. This is a unique opportunity to influence cutting-edge AI technology while working with passionate professionals in a fully remote setting. Key Responsibilities:- Develop high-quality training data and validate AI outputs on geology topics, ensuring accuracy and relevance.- Apply field mapping and sampling experience to create realistic geological scenarios and case studies.- Annotate and review geological datasets, including rock, mineral, and stratigraphic information, for AI learning.- Collaborate with data scientists and AI engineers to translate geoscience concepts into actionable AI training tasks.- Utilize GIS tools to enhance spatial data representation and interpretation for machine learning applications.- Draft comprehensive technical documentation and training materials that reflect best geological practices.- Provide feedback and insights to refine AI models, drawing on expertise in structural geology, geochemistry, and geophysics. Qualifications:- Bachelor’s or Master’s degree in Geology, Earth Sciences, or a related discipline.- Proven experience in field mapping and sampling, and rock and mineral identification.- Solid understanding of stratigraphy, sedimentology, and structural geology.- Competency in geochemistry and geophysics fundamentals.- Proficient with Geographic Information Systems (GIS) and geoscientific data analysis.- Strong skills in core logging, well logging, and technical report writing.- Exceptional written and verbal communication skills, with strong attention to detail and clarity. Preferred Qualifications:- Experience in AI, data annotation, or machine learning projects related to geosciences.- Advanced experience with GIS analysis or geological modeling software.- Demonstrated ability to convey complex scientific concepts to cross-functional technical teams. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Ryz Labs is looking for experienced and credentialed art historians with a Master’s or PhD in art or art history to support a high-impact AI training initiative. This role involves curating and annotating diverse artwork from modern, historic, and culturally significant traditions. Candidates will label visual materials across various mediums, contextualize stylistic elements, and identify key artistic features to aid in the development of next-generation AI models. Responsibilities:- Analyze and annotate images of artwork across various historical periods and cultural contexts.- Accurately label works by medium, technique, movement, and artist where appropriate.- Provide contextual information on style, influence, and cultural relevance.- Ensure consistency and precision in annotations based on art historical standards.- Collaborate with technical teams to refine project requirements and outputs. Requirements:- Master’s or PhD in art or art history.- Deep expertise in modern, historic, and culturally significant artworks.- Strong fluency across artistic mediums, including painting, sculpture, photography, and more.- Preferred experience in teaching art history or curating museum or gallery exhibitions.- Comfortable using digital tools and adapting knowledge to AI-focused workflows.- Excellent written communication skills and a client-oriented mindset.- We are seeking a commitment of 30–40 hours per week but may consider 20+ hours for exceptional candidates. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across the US— we also have offices in NYC, San Francisco, and Seattle We are growing our commercial team and looking for growth minded individuals who are passionate about the future of AI and content creation. In this role you’ll be identifying use cases where our technology can solve problems, and helping businesses think strategically about incorporating Runway into their workflows. What you’ll do Identify new prospective customers and own the commercial process from initial engagement to contract signing Develop innovative applications for our software and experiment within customer conversations Craft compelling stories that articulate the value and potential of our technology to businesses Foster relationships with key decision-makers and innovators, including executives and senior leadership teams to partner on deploying and growing usage of Runway throughout their organization Prototype with customers in real time Grow and expand existing customer accounts using data Work closely with our Research, Engineering, Product, and Marketing teams to share market insights and identify potential growth opportunities What you’ll need 5+ years of overall experience in a growth, GTM, or customer-facing role with experience in a high-growth technology company preferred Natural curiosity for the Runway product and eagerness to use and test the product personally Passion for educating prospects about AI's transformative potential across industries Ability to build trust and engage authentically with diverse stakeholders—from technical experts to creative professionals to business executives Exceptional communication skills and ability to articulate complex ideas clearly and persuasively Ability to thrive in a constantly changing and growing environment While sales experience is preferred, it’s not required - experience in a customer-facing role such as Solutions Architect, Sales Engineer, or Technical Account Manager is also relevant Salary range: $150,000-$200,000Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Research Our AI Film Festival Runway Studios Our Behaviors and Company Mission Towards a new media ecosystem with world simulators; $300m Series D funding We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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AI Engineer (Contract-to-Hire)Location: Remote (Global) Start Date: Rolling Compensation: $75/hour for first 4 weeks (contract-to-hire trial)Please apply using the provided form, candidates who directly email will not be considered.About The ProjectWe're building AI-native engineering team within Infinity, a holding company building full-stack AI businesses. We support portfolio companies by:Rapidly prototyping new product ideas to validate marketsProviding flex capacity during high-growth phasesMaintaining and evolving the Infinity Commons, our shared library of frameworks, prompts, and reusable toolsWe’re not a dev shop. We’re a surgical team of builders who move fast, reduce ambiguity, and create leverage across a network of founders building with AI at the core.The RoleWe’re looking for scrappy, sharp, execution-focused engineers who thrive in high-context, high-autonomy environments. You'll be deployed on fast-moving projects—from validating ideas in one-week sprints to helping scale production tools inside early-stage companies.This is a contract-to-hire role. The first month is a paid trial at $75/hour. If there’s mutual fit, you’ll transition to a full-time or retainer-based role within the core team.What You’ll DoBuild working prototypes of agentic AI applications, LLM workflows, and full-stack productsExperiment quickly across frameworks (e.g. LangChain, CrewAI, AutoGen), open source tools, and low-code stacksInterface directly with product thinkers and founders to distill ambiguous ideas into testable codeContribute to shared internal libraries and the Infinity CommonsOccasionally embed with portfolio companies to support launches or unblock executionWhat We’re Looking ForRequired:Fluency in Python and experience using AI toolkits and APIsExperience rapidly building and iterating on proof-of-concept or MVPsComfort using a blend of commercial APIs, open source, and low-code tooling to get things doneStrong problem-solving skills and analytical intuitionBonus Points:Prior work with AI agents, vector databases, or retrieval-augmented generation (RAG)Experience with frontend development (React, Next.js, etc.)A background in a STEM discipline, data science, or quant-heavy engineeringPrevious experience in a venture-backed startup or technical founder roleHow We WorkAsynchronous by default, with tight feedback loops and clear ownershipHigh-trust, high-autonomy culture that values shipping, learning, and iteratingSmall, elite team of senior builders with experience across AI, product, and infrastructureHow to ApplySend us:A short note in the application form on why this role fits you Links to past work, projects, or GitHub.Availability to start the contract phaseWe’ll move quickly. If it feels like a fit, you’ll be coding real things with us within a week.

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Join our client's team as a Lawyer and play a vital role in creating innovative AI-based legal training solutions. We are looking for distinguished legal professionals with a strong foundation in various legal fields and a passion for clear, effective communication. This unique opportunity lets you leverage your legal expertise to shape the future of legal practice while working remotely. Key Responsibilities:- Clearly explain complex laws and regulations to diverse audiences to ensure accurate understanding.- Analyze legal outcomes, referencing precedent cases to guide best practices and decision-making.- Collect, evaluate, and synthesize evidence, in addition to conducting interviews relevant to casework and training scenarios.- Represent client interests in virtual court simulations and engage with regulatory bodies.- Develop and provide legal advice, case strategies, and process improvements tailored to real-world scenarios.- Draft, review, and refine legal documents, including contracts and wills, ensuring accuracy in legal language and compliance.- Facilitate negotiations and settlements while upholding ethical standards and best practices. Qualifications:- Outstanding written and verbal communication skills, capable of translating legal jargon into easily understandable language.- Demonstrated critical thinking, analytical, and problem-solving skills.- Proven listening skills and attention to detail, particularly during evidence review and client interviews.- Strong decision-making and negotiation skills with a focus on achieving results.- Current knowledge of relevant laws, regulations, and industry trends.- Proficiency with legal research tools (e.g., LexisNexis), case management systems, and standard office software.- Juris Doctor (JD) degree or equivalent professional legal qualification. Preferred Qualifications:- Experience in a role as an Attorney, General Counsel, or within a prosecutorial setting.- Background in training, mentoring, or developing educational legal content.- Familiarity with AI, emerging legal technologies, or legal tech platforms. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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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 and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About xAI 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. The AI Tutor - Data Science role is remote position and there are full-time and part-time positions available (please see the bottom of this job description for more details). 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 research skills, and the 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 research 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 Additional Requirements: Available to work evenings and weekends, as the schedule varies depending on team operational needs; flexibility is required. Demonstrates a strong capacity to quickly adapt by learning new skills and unlearning outdated ones, thriving in dynamic and changing environments. For those who will be working from a personal device, please note your computer must be capable of running Windows 10 or macOS BigSur 11.0 or later. Location, Hourly, and Other Expectations: This position is fully remote. We are unable to provide visa sponsorship. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. Please indicate your interest in either full-time, part-time, or either in the application. Note that: Part-Time (20-29 hours per week): While hours are flexible around your schedule, you must be committed to working at least 20 hours per week (with at least 10 of these hours worked on weekdays) and no more than 29 hours per week. Full-Time (40 hours per week): Ideal full-time schedules are 9-5:30pm in your local time zone. However, flexible hours can be be offered. Compensation and Benefits: The pay for this role may range from $35/hr - $65/hr. Your actual pay will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. For full-time roles, benefits will include medical insurance and specific benefits vary by country.  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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Join our customer's team as a Customer Service Representative and be instrumental in shaping how AI systems engage with real customers. You will use your expertise to not only directly assist customers but also to train AI in managing service inquiries, modeling a professional tone, and resolving issues efficiently. Your contributions will be key in ensuring outstanding customer satisfaction across various industries. Key Responsibilities:- Respond thoughtfully to customer inquiries and complaints across multiple channels, including chat, email, and phone.- Demonstrate and model effective de-escalation techniques and conflict resolution strategies for both customers and AI learning modules.- Collaborate with cross-functional teams to capture, analyze, and improve customer service interactions.- Provide actionable feedback to enhance AI’s ability to handle complex service scenarios and deliver human-like responses.- Maintain accurate, detailed records of all customer interactions and resolutions.- Support the continuous training and refinement of AI tools by providing real-world examples of superior customer service.- Champion a customer-first mindset, ensuring every interaction prioritizes satisfaction and positive outcomes. Qualifications:- Exceptional written and verbal communication skills, with an empathetic and personable approach.- Proven experience in a customer service or support role, preferably in a fast-paced environment.- Strong problem-solving skills and the ability to stay composed under pressure.- Demonstrated ability to de-escalate challenging situations and turn dissatisfied customers into loyal advocates.- Comfort working independently in a remote environment while contributing to a larger team effort.- Tech-savvy, with the ability to quickly learn and navigate new AI-driven systems and platforms.- Meticulous attention to detail and commitment to maintaining high standards of professionalism. Preferred Qualifications:- Experience training, mentoring, or guiding others in customer service best practices.- Background in supporting or training AI or machine learning applications.- Multilingual abilities or experience serving diverse customer bases. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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Join our client's team as a Film and Video Editor - AI Trainer and utilize your industry expertise to shape the future of AI-driven editing. In this role, you will empower artificial intelligence to grasp the artistry of storytelling through editing, pacing, and post-production workflows, ensuring intelligent systems capture the nuance and creativity that human editors bring. Key Responsibilities:- Train AI models on film and video editing principles, focusing on storytelling, shot selection, and visual narratives.- Collaborate with technical teams to provide annotated examples, feedback, and guidance for editing tasks.- Curate and organize video assets, working alongside producers or directors to optimize workflows for final production.- Edit or synchronize soundtracks with visuals to achieve seamless audio-visual integration.- Evaluate and refine AI-generated edits, offering detailed written and verbal feedback to enhance learning.- Advocate for best practices in pacing, synchronization, and visual clarity within the AI editing process.- Maintain clear communication with cross-functional teams, ensuring alignment on project goals and deliverables. Qualifications:- Proven expertise in editing moving images on film, video, or digital media platforms.- Strong proficiency in industry-standard editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve).- Exceptional written and verbal communication skills, with great attention to clarity and detail.- Experience working with producers or directors to achieve a creative vision in post-production.- Solid understanding of synchronization, pacing, and visual storytelling techniques.- Ability to provide structured, actionable feedback and effectively document processes.- Self-motivated, proactive, and comfortable working remotely in a collaborative setting. Preferred Qualifications:- Experience in training AI or working closely with machine learning teams in a creative context.- Background in teaching, creative mentorship, or editorial leadership roles.- Familiarity with workflows that integrate both sound and image editing (excluding specialized sound engineering technicians). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re seeking Research Scientists to join our Handshake AI Research team, where you’ll conduct pioneering research that pushes the boundaries of LLM understanding and evaluation. You’ll work at the frontiers of model comprehension, advanced evaluation methodologies, and the intersection of human and AI knowledge systems, with the goal of building the future of how we understand and measure AI capabilities.As a Research Scientist, you’ll collaborate closely with engineers and cross-functional teams to transform fundamental insights into breakthrough evaluation frameworks and understanding paradigms. Whether you’re developing novel approaches to probe model understanding, creating sophisticated benchmarks that reveal emergent capabilities, or establishing new methodologies for measuring AI-human knowledge alignment; you’ll help define how we comprehend and assess the next generation of AI systems.Location: San Francisco or New York CityYour roleDesign and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interactionDevelop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitationsCollaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systemsPioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledgeWrite high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflowsPublish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilitiesWork with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignmentYour experiencePhD or equivalent research experience in machine learning, computer science, cognitive science, or a related field with focus on AI evaluation or understandingStrong background in LLM research, model evaluation methodologies, interpretability, or foundational AI assessment techniquesDemonstrated ability to independently lead post training and evaluation research projects from theoretical framework to empirical validationProficiency in Python and deep experience with PyTorch for large-scale model analysis and evaluationExperience designing and conducting experiments with large language models, benchmark development, or systematic model assessmentStrong publication record in post training, AI evaluation, model understanding, interpretability, or related areas that advance our comprehension of AI capabilitiesAbility to clearly communicate complex insights about model behavior, evaluation methodologies, and their implications for AI developmentNice to HaveExperience with RL, agent modeling, or AI alignmentFamiliarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systemsUnderstanding of the challenges in scaling foundation models (e.g., training stability, safety, inference efficiency)Contributions to open-source AI libraries or research toolingInterest in shaping the societal impact, deployment ethics, and governance of frontier modelsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Seeking a Program Manager to lead a Direct Commercial Sale program for an international customer which will deliver transformative unmanned aerial vehicle (UAV) systems.  

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely individual contributor role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Delivering value to the customers• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   Product deployment• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to deploy relevant solutions according to their specific requirements.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Develop custom features for customers as needed. Customer Onboarding• Responsible for onboarding customers on our products, providing guidance on deployment and integration• Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces Project management• Define and track success metrics of the POC being rolled out at customers.• Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward. About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect• You're experienced with deploying and managing AI-based products in production environments• You are fluent in Python• You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure• You have been involved in a customer facing role• You have strong project & stakeholder management skills• You have foundational knowledge in AI/ML/Data science• You have ability to connect technology and business value • You are result driven and resilient• Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process (optional) • Talent Acquisition screening call• 30min Hiring Manager Interview• 45min Business Acumen Interview • 60min System Design• Panel (Home Prep & Restitution)• 30min Value Talk• Reference check Benefits France 💰 Competitive cash salary and equity🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  We are building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a DevOps Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform. Location: France 🇫🇷 and UK 🇬🇧 as primary location, or remote under conditions (see below)Reporting line: Software Architect, HPC What you will do As a DevOps Engineer in the HPC services team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms. Key Responsibilities: • Design, build and maintain scalable, highly available and fault-tolerant infrastructures• Build, scale and automate the full lifecycle of compute nodes, from bootstrapping to decommissioning• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, API-based features, web apps, dashboards, etc.)• Drive continuous improvement in infrastructure automation, deployment, and orchestration (CI/CD, containerization, orchestration, monitoring, logging and alerting systems...)• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences• Collaborate closely with R&D to streamline build systems, scale testing workflows and make sure our inference and model training environments are always highly available and seamlessly replicable across several HPC clusters• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements About you • 7+ years of experience in a DevOps/SRE role• Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)• Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes..)• Proven experience troubleshooting complex K8s cluster issues and performing system upgrades• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)• Experience working against reliability KPIs (observability, alerting, SLAs)• Strong understanding of networking, security, and system administration concepts• Excellent problem-solving and communication skills• Self-motivated and able to work well in a fast-paced startup environment Now, it would be ideal if you also had experience with:• HPC workload managers (Slurm)• Distributed storage systems (Lustre, Ceph)

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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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ABOUT US:At Brisk Teaching, we aim to lighten the workload for teachers with AI powered tools that take care of administrative tasks so that teachers can spend more time doing what they love - teaching. Brisk is an AI-powered Chrome extension that simplifies teaching by integrating seamlessly with tools teachers already use like Google Classroom, Docs, Slides, YouTube, and articles. In seconds, teachers can create instructional materials, provide feedback, and evaluate student work - right from where they're already working.We are a diverse group of technologists, educators, and parents, all united by a passion to improve the lives of educators. With over a decade of collective teaching experience and roles at leading education technology companies like the Chan Zuckerberg Institute, Seesaw Learning, PBS Kids, Clever, NoRedInk, Panorama Education, GoGuardian, and Edulastic, we deeply understand what educators need.THE OPPORTUNITY:We are looking for a Senior or Staff Frontend-Leaning Full-Stack Engineer to help us build and scale the next generation of Brisk's AI-powered tools. You will play a critical role in building our web application, contributing both to the user-facing features (frontend) and the server-side logic (backend). As part of a small team, you’ll have the opportunity to drive impactful features, influence the direction of our platform, and contribute to the development of educational tools that have a direct impact on the teaching community.YOU WILL:Product Development: Contribute to both the design and development of Brisk’s platform, ensuring high-quality software that meets the needs of teachers and students.Frontend Development: Lead the development of rich, responsive, and intuitive user interfaces using React and TypeScript. You should understand how React works, how to manage application state, and how to efficiently use its tools for rendering and updating UI. You'll be responsible for creating seamless interactions, delightful experiences, and ensuring that our UI is both functional and aesthetically pleasing.Backend Development: Build and maintain scalable backend services using Python, Flask, and other relevant frameworks to support the frontend features. You’ll also be tasked with working on APIs that integrate with the frontend, ensuring clear and efficient communication between client and server.User Experience: Develop a keen attention to detail when it comes to user experience, making sure that interactions are not only functional but delightful. You will contribute to making sure the user interface is intuitive, performant, and easy to use.Performance Optimization: Optimize the performance of the platform by understanding the browser's behavior, how it renders elements, and optimizing CSS, layout models, and positioning. You'll be responsible for ensuring our app is performant across all devices and browsers.Cross-Functional Collaboration: Work closely with other engineers, the founding team, and designers to iterate and ship new features and improvements.Cloud Infrastructure: Help manage our AWS infrastructure to ensure reliability, security, and scalability of our services.Technical Leadership: As a senior engineer, you'll contribute to defining and enforcing best engineering practices, conducting code reviews, and mentoring other team members in both frontend and full-stack development.YOU HAVE:React Expertise: Solid understanding of how React works, including component lifecycles, hooks, and state management. You should be comfortable building complex UI and managing application state effectively.CSS and Layout Skills: Deep understanding of CSS, layout models (Flexbox, Grid), and the positioning model. You'll need to ensure that the UI is visually appealing and works well across different screen sizes and devices.Performance and Accessibility Focus: Prioritization of performance and accessibility in every aspect of development. This includes ensuring that the application loads quickly, interactions are smooth, and the app is usable by people with a range of abilities.API Knowledge: Experience in building and consuming APIs to support the frontend and backend integration. You’ll need to understand how APIs work and be comfortable making asynchronous requests from the frontend.User-Centered Mindset: A passion for building delightful user experiences. You'll need to constantly think about the user journey, interactions, and how you can make the product both enjoyable and efficient for educators to use.Attention to Detail: Pride on your attention to detail—whether it's fixing small UI issues, optimizing performance, or ensuring an interaction is as intuitive as possible.Cloud and Backend Experience: Proficiency in Python and experience with backend frameworks like Flask (or similar), as well as cloud infrastructure knowledge, particularly AWS.Experience: At least 5 years of professional software engineering experience, with a balanced focus on both frontend and backend development. Strong knowledge of state management, browser internals, and how the CSS rendering pipeline works will be critical.Team Collaboration: A proven track record of working collaboratively with other engineers and cross-functional teams to deliver high-quality software.WHAT WE OFFER:Competitive salaryStock options, vested over 4 yearsComprehensive benefits package, including health, dental, and vision insurance.Opportunities for professional growth and development.Collaborate with your teammates two times a week via our hybrid model in either our San Francisco or New York City offices.A supportive and collaborative work environment.The chance to make a meaningful impact on education through innovative technology.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, disability, or any other legally protected status.

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About the RoleAnyscale is seeking a Senior Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for RayTurbo Data, our high-performance commercial engine.You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffsWorking closely with customers and open source users to draw the subtle line between growth and commercializationStrategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.Thinking deeply about and clearly articulating the product strategy to stakeholdersKey ResponsibilitiesDrive the Ray Data product roadmap - Balance open source Ray Data feature development with RayTurbo Data commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and RayTurbo remains sufficiently compelling.Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrationsMarket Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.Customer engagement - Drive key customer engagements assisting sales and field engineering teams.Required Qualifications3+ years of product management experience with technical productsStrong technical background in distributed systems, ML infrastructure, or data processingExperience working with developer and enterprise audiencesStrategic thinking with ability to balance competing priorities and stakeholder needsLocated in or willing to relocate to the Bay AreaPreferred QualificationsPrior experience with open source products and commercial monetization strategiesBackground in ML tooling, data infrastructure, or developer toolsAbout Ray DataRay Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

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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 techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.As a Senior Research Engineer, Model Evaluation, you will:Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilitiesConduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasetsBuild scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEOLearn from and work with the best researchers and engineers in the fieldYou may be a good fit if:You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performanceYou have strong software engineering skillsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.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 6 months for employees based in Canada, the US, and the UK🎨 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 and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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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. About Ad Cloud  Serving Services Team At Appier's Ad Cloud Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, ensuring the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation. Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration. Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation. Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies. Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services. Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing. About You [Minimum Qualifications] 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages: Go, Python. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and implementing robust monitoring and alerting. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting. [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization. Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration. Hands-on experience with deploying and serving machine learning models in production environments. Exposure to ad-tech or recommendation systems is a plus. #LI-SW1

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🚀 About Us We’re StackBlitz! We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you. ✨ About This Opportunity We’re looking for a Senior Ruby on Rails Engineer based in the US or EU to help build the backend systems that power StackBlitz.com and Bolt.new. In this role, you’ll work on platform features, developer infrastructure, and integrations that enable millions of developers around the world to build software entirely in the browser. You’ll be part of a small, ambitious team focused on making software development more accessible to everyone. If you enjoy building robust systems, shipping high-quality code, and collaborating across teams — this could be the role for you. 🛠️ How You'll Contribute  Improve the scalability, reliability, and performance of our Ruby on Rails application Design and optimize data storage using PostgreSQL and object storage services Build features for teams, organizations, and developer communities Develop integrations with external platforms to extend our product ecosystem Help review and shape code from peers to ensure quality, security, and best practices 💡 Qualifications 5+ years of professional experience with Ruby on Rails 5+ years of experience with PostgreSQL (or similar relational databases) Experience with AWS and modern cloud infrastructure Familiarity with CSS, SASS, HTML, and other templating/styling languages Experience building web applications with REST or GraphQL APIs Strong communication skills — especially when explaining technical topics Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language. 🎯 Bonus Points  Experience with Node.js or TypeScript Familiarity with Cloudflare Workers or edge infrastructure Interest in working with AI or LLMs Experience integrating with GitHub APIs or other version control systems 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above. If this role excites you, we want to hear from you.