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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design rigorous electrical engineering problems reflecting professional practice.Evaluate AI solutions for correctness, assumptions, and constraints.Validate calculations or simulations using Python (NumPy, Pandas, SciPy).Improve AI reasoning to align with industry-standard logic.Apply structured scoring criteria to multi-step problems. What we look for This opportunity is a good fit for electrical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Electrical Engineering or related fields, e.g. Electronics, Microelectronics, Embedded Systems, Power Systems, etc. 3+ years of professional electrical engineering experience Strong written English (C1/C2) • Strong Python proficiency for numerical validation Stable internet connection  Professional certifications (e.g., PE, CEng, EUR ING, RPEQ) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $20/hour*  Fixed project rate or individual rates, depending on the project Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!  About the Role AI is transforming how enterprises sell, support, and operate — surfacing hidden knowledge, automating workflows, and collapsing weeks of effort into minutes. As an AI Engineer, Enterprise Solutions, you’ll act like a startup CTO, turning this vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for our customers. You will get a front seat to AI applications in the economy along with defining and shaping the future.   Responsibilities  Build and Ship: Design and develop AI applications primarily in Python. Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters. Work with Customers: Lead discovery sessions, guide pilot projects, and ensure successful deployments. Collaborate mostly remotely with occasional on-site workshops. Run and Improve: Monitor system performance and reliability. Add to the logging, billing and auth services. Build internal tooling to automate repetitive tasks. Share What You Learn: Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.   Qualifications Required: 2+ years of experience writing solid production-quality software. Hands-on experience with LLMs and a solid understanding of machine learning fundamentals. Strong customer empathy: ability to listen, ask insightful questions, and translate real-world pain points into intuitive technical designs. Product-minded approach: focus on outcomes, comfortable shaping scope with product managers, defining success metrics, and making trade-offs to accelerate learning. Excellent communication skills, able to engage effectively with executives and engineers both remotely and on-site. Versatile problem-solver who thrives in ambiguous environments and enjoys rapid learning. Nice to Have: Experience in forward-deployed or product-oriented roles. Exposure to regulated industries such as healthcare or finance. Proficiency with Terraform or Pulumi and experience across multiple cloud platforms. Experience integrating with ERP, CRM, or other large enterprise systems. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.Salary Band$165,000—$200,000 USDCompany Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process. Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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About Basis Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world. Members of Technical Staff build the agents, the infrastructure they run on, and the product interfaces users work with. We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale. Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders. "Basis is on the frontier of building production-grade, long-horizon agents. They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They've been a great collaborator in helping us shape what the future of agents looks like." — Prashant Mital, Applied AI Lead, OpenAIAbout the roleSpearhead our most complex problemsWhy Join Basis? We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being:Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health.Time off: Unlimited PTO + 12 paid company holidays.In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup.Financial Benefits: Pre-tax commuter benefits and 401(k) retirement planTeam Culture: Monthly office activities and frequent optional team happy hours.Parental Leave

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About Cohere and NorthCohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale.Role OverviewWe are seeking a Safety Research PM to bridge Cohere's AI safety research and the North product. This role sits at the intersection of model research and product delivery — you'll work directly with Cohere's modeling and safety research teams to understand how our models behave, where they fall short, and how those insights translate into concrete safety features and guardrails within North.This isn't a traditional PM role. You'll spend as much time reading evaluations and engaging with researchers as you will writing PRDs. The right person is intellectually curious, comfortable with ambiguity, and has the technical depth to engage seriously with model behavior research while also having the product instincts to know what to do with it.ResponsibilitiesServe as the product bridge between Cohere's safety research teams and North, ensuring that findings from model evaluations, red-teaming, and behavioral research translate into product-level guardrails, controls, and safeguards.Own the safety product roadmap for Cohere and North, prioritizing features based on research findings, observed misuse patterns, evolving threat vectors, and customer requirements.Partner with modeling teams to scope and interpret safety evaluations — understanding how Cohere’s underlying models behave across adversarial inputs, edge cases, and high-stakes use cases.Define and drive evaluation frameworks for assessing how safety properties hold up as models and product capabilities evolve, ensuring regressions surface before they reach customers.Coordinate the development of guardrails and intervention mechanisms — working across research, engineering, and policy to determine where and how safety controls should be implemented within North's product layer.Monitor the AI safety research landscape — from prompt injection and jailbreaks to emerging misuse patterns in agentic systems — and ensure North's roadmap reflects what the research is surfacing.Build processes for scaling safety review as North's surface area grows, including how new features get assessed for safety risk before launch.Requirements5+ years of product management or research operations experience, with meaningful time working alongside research or ML teams at a technology or AI company.Technical depth sufficient to engage credibly with safety researchers: you don't need to run evals yourself, but you need to understand what they mean and ask the right questions.Genuine interest in AI safety and model behavior, including the real-world implications of deploying LLMs in enterprise contexts.Comfortable operating in ambiguity — safety research surfaces unexpected findings, and this role requires good judgment about what to act on and how fast.Able to work across researchers, engineers, and product teams and keep everyone aligned without flattening the nuance of what the research is actually saying.Strong written communicator who can translate complex model behavior findings for non-technical audiences and knows when something needs to be escalated urgently.Nice-to-HavesHands-on experience with LLM evaluation, red-teaming, safety benchmarking, or behavioral research.Familiarity with AI-specific threat vectors: prompt injection, jailbreaks, RAG poisoning, or misuse patterns in agentic systems.Background in trust and safety, content policy, or a research-adjacent operational role at a technology company.Experience building zero-to-one processes in research or safety contexts.Prior exposure to agentic AI systems and the unique safety challenges introduced by tool use, multi-step reasoning, and autonomous execution.Why Join Cohere?Impact: Shape how one of the most widely deployed enterprise AI platforms thinks about and implements safety at the product level.Innovation: Work directly alongside safety researchers and modeling teams at the frontier of AI behavior research.Growth: Competitive compensation, equity options, and opportunities for professional development.Flexibility: Hybrid work model with offices in San Francisco, New York, and Toronto.LocationRemote or hybrid (New York, Toronto, London, Paris, Zurich).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the Team:Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.Codex Security is OpenAI’s first security agent, built to scan GitHub Cloud repositories, validate real vulnerabilities, and integrate with Codex to help generate fixes.About the Role:Lead an effort to map, characterize, and prioritize cross-layer vulnerabilities in advanced AI systems – spanning data pipelines, training/inference runtimes, system and supply chain components. You’ll drive offensive research, produce technical deliverables, enhance the Codex Security product line, and serve as OpenAI’s primary technical counterpart for select external partners (including potential U.S. government stakeholders).What you’ll do:Conduct deep security research on real-world software systems to discover complex vulnerabilities across large codebases and distributed architectures.Investigate and validate vulnerabilities discovered by AI-driven security agents, including building proofs-of-concept and exploit demonstrations.Partner with engineering teams to improve automated vulnerability discovery, validation, and remediation workflows as part of product development.Build high quality security datasets and evals that will help advance model’s cybersecurity capabilitiesTrain and improve AI models used for vulnerability discovery, validation, and automated remediation by developing datasets, evaluations, and feedback loops grounded in real-world security research.Publish technical writeups, research insights, and vulnerability analyses that advance the state of application security.You may thrive if you:Have strong experience in vulnerability research, exploit development, or offensive security.Have deep experience with cutting edge offensive-security techniquesAre fluent across AI/ML infrastructure (data, training, inference, schedulers, accelerators) and can threat-model end-to-end.Operate independently, align diverse teams, and deliver on tight timelines.Communicate clearly and concisely with experts and decision-makers.Care deeply about improving the security of widely used software and open-source infrastructure.Are a strong developer who can work in a small energetic teamGoals & impact:Build AI-driven systems that can discover high-impact vulnerabilities in widely deployed systems and open-source software before attackers do.Improve the precision and effectiveness of AI-driven security agents by grounding them in real-world vulnerability research.Key technical challenges:System-level vulnerability discovery — identifying complex vulnerabilities that span multiple services, trust boundaries, or components.High-confidence validation — distinguishing real exploitable vulnerabilities from speculative or theoretical issues.Scaling security research with AI agents — guiding automated systems to analyze millions of commits while maintaining research-level rigor.Automated exploit and proof-of-concept generation — building reproducible demonstrations of vulnerabilities within sandboxed environments.Building large systems that work within OpenAI's enterprise architectureAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?To have the opportunity to collaborate with Cohere’s Modelling Safety team on implementing novel research ideas that are grounded in real usage and real production models. We are broadly interested in the areas of:FairnessSafety: overall, but especially for multiple languages, dialects, and cultural contextsRobustnessGeneralisationInterpretabilitySafety for agents with complex read/write actionsSafety for codegenIf there is any area you would like to work on not covered by this, please feel free to propose it, that can succeed! To increase chances of success, we would recommend you familiarise yourself with the publications of the team to get signal on whether your topic is something we might be interested in.The goal of an internship will be to publish a paper in a top venue and make a contribution to open science. Many internship projects do also make it into our production systems and influence our model development, though this is not a requirement, just a bonus. Your project details and topic will be collaboratively designed between you and the team.Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.This role can be remote. We do allow and encourage working out of one of Cohere’s office locations, but do not provide relocation or housing if you are not already nearby.As a Cohere Research Intern, you will:Conduct cutting-edge machine learning research, training and evaluating production large language models.Focus on research projects aimed at making models better understood, safer, more reliable, more inclusive, and more beneficial for the worldDisseminate your research results through the production of publications, datasets, and code.Contribute to research initiatives that have practical applications in Cohere’s product development.You may be a good fit if you:Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period.Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.Are familiar with autoregressive sequence models, such as Transformers.Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly.Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.Have previous experience in building systems based on machine learning and deep learning techniques.Demonstrate passion for applied NLP models and products.Preferred Qualifications:Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science.Proven ability to tackle analytical problems using quantitative methodologies.Proficiency in handling and analysing complex, high-dimensional data from various sources.Experience in applying theoretical and empirical research to real-world problem-solving.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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About the roleAs a Full-Stack Engineer at Flowith, you will be at the intersection of front-end and back-end development, building robust, scalable, and user-friendly AI-powered products. Your work will directly impact how our users interact with complex AI capabilities, transforming advanced algorithms into intuitive features. You'll collaborate cross-functionally with designers, product managers, and other engineers to deliver seamless experiences that bring our AI products to life.Responsibilities:End-to-End Product Building: Cross the front-end and back-end boundaries to independently or collaboratively lead the full-stack development of Flowith's core modules, delivering highly available and scalable system code.AI Engine Integration: Deeply integrate advanced AI algorithms and complex models into the product flow, breaking down technical barriers to create stunning, intelligent interactive experiences.Cross-Functional Agile Collaboration: Work tightly with product managers, designers, and AI engineers in a highly creative atmosphere to bring wild, visionary AI concepts down to earth.Cloud Deployment & Performance Tuning: Automate deployments and manage continuous integration on mainstream cloud infrastructure, constantly monitoring and optimizing system performance and resource bottlenecks.Defending Engineering Standards: Participate in the evolutionary design of the core architecture and conduct in-depth Code Reviews, continuously accumulating technical components and best practices to elevate the team's overall engineering standards.工作内容：跨越前后端边界，独立或协同负责 Flowith 核心功能模块的全栈开发，交付高可用、可扩展的系统代码。将先进的 AI 算法与复杂模型深度整合到产品流中，打破技术壁垒，创造令人惊艳的智能化交互体验。与产品经理、设计师及算法工程师深度咬合，在充满创造力的氛围中，将天马行空的 AI 理念落地生根。在主流云基础设施上进行应用的自动化部署与持续集成，时刻监控并优化系统性能与资源瓶颈。参与核心架构的演进设计与深度的 Code Review，持续沉淀技术组件与最佳实践，提升团队整体的工程化水位。RequirementsRequired qualifications:At least 3 years of full-stack web development experience.Proficiency in JavaScript and TypeScript, with hands-on experience in at least one major front-end framework (React, Vue, Angular).Solid experience in back-end development, with expertise in one or more back-end languages (Node.js, Python, Go, Java).Familiarity with at least one mainstream database system and strong data modeling skills.Hands-on experience deploying and maintaining applications on cloud platforms such as AWS, GCP, Azure, or Cloudflare.Deep understanding of software engineering principles, system design, and code quality.Passion for AI/ML products and the ability to distill complex AI capabilities into intuitive features.Bonus pointsPractical experience productizing large language models (LLMs).Familiarity with serverless computing and microservices architecture.Active contributions to open source projects, personal blogs, or a strong presence on GitHub.Insight into user experience (UX) design and product usability. 需要你： 3 年及以上全栈 Web 开发经验。具备深厚的软件工程底蕴，精通系统设计，并对优雅的代码质量有极致的强迫症。精通 JavaScript 和 TypeScript，在至少一种主流前端框架（React、Vue 或 Angular）上有丰富的实战经验，能写出丝滑的交互体验。具备扎实的后端架构与开发经验，精通 Node.js、Python、Go 或 Java 中的一种或多种语言。熟悉至少一种主流数据库系统，具备极强的数据建模与性能调优能力。拥有在 AWS、GCP、Azure 或 Cloudflare 等云平台上部署和维护高可用应用的实战经验。对 AI/ML 产品充满狂热，具备极强的同理心，能将晦涩复杂的 AI 能力“翻译”成用户爱不释手的直观功能。加分项：有大型语言模型（LLMs）产品化落地的实战经验；熟悉 Serverless 计算与微服务架构；在开源社区活跃（有高亮 GitHub 主页、技术博客或开源贡献）；拥有敏锐的 UX 嗅觉，懂设计和产品可用性。BenefitsWorkspace, Culture & LifestyleAwesome Teammates: Work alongside a kind, creative, and hardworking crew of occasional "geeks" and visionaries.Building the AGI Future: Participate in the in-house development of rapidly evolving AI agents and explore the future of AGI interactive interfaces.Cool Offices in SH & SF: Enjoy our ultra-open workspaces with the ultimate freedom to seamlessly switch between our Shanghai and San Francisco locations.Pet-Friendly Workplace: Bring your furry friends to work! Come play with our resident Orange Tabby and Golden Retriever Mix, or bring your own pets to hang out.Island Hackathons: Join our annual internal hackathons, where we select a new city or country each year for innovative coding sessions and team bonding.Free AI Tools & Tech Gear: Enjoy free, unlimited access to cutting-edge AI tools, plus the latest tech equipment like Apple Vision Pro and FPV drones.Tech Events: Regularly participate in top-tier global tech meetups and innovation showcases.Parties & Events: Celebrate with monthly birthday bashes and annual milestone partiesFree Snacks & Drinks: Stay fueled with an endless supply of your favorite beverages and unlimited complimentary snacks.Work ArrangementsFlexible Working Hours: Customize your schedule by arriving at the office between 10 AM and 1 PM for a standard 8-hour workday, 5 days a week.Remote Work & Care: Embrace a supportive hybrid work model, featuring 1 additional Work-From-Home (WFH) day per month exclusively for female employees.Comprehensive Benefits PackageCompetitive Compensation: Earn an above-market salary structure with an optional equity/stock options package.Wellness Program: Take care of your body and mind with free gym access and monthly on-site professional massages.Exclusive Swag & Perks: Receive holiday surprise gift boxes, premium custom company apparel (T-shirts, hoodies, and jackets), and occasional exclusive internal brand discounts.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. 3+ years of professional mechanical engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $38/hour*  Fixed project rate or individual rates, depending on the project Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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About the RoleA1 is building a proactive AI system that carries work forward across conversations, tools, and time — enabling users to delegate ongoing tasks to AI agents that coordinate across software, data, and workflows.We are looking for a leader who can think clearly about systems, make strong technical decisions, and help build the engineering organisation from the ground up.Be part of founding team to shape the technical direction of the company, while helping build a strong engineering team across the globe.What You'll DoTechnical DirectionDefine the long-term architecture for A1’s AI systems, infrastructure, and developer platformEvaluate trade-offs between speed of iteration and long-term system designEnsure systems are designed for scalability, reliability, and long-term evolutionGuide key decisions across model integration, data pipelines, distributed systems, and product architectureEngineering LeadershipWork with engineers to translate product direction into clear technical executionHelp structure engineering workstreams and keep teams aligned on prioritiesMaintain high engineering standards while keeping the team focused on shippingEstablish engineering culture, development practices, and technical standards across the companyBuilding the TeamBuild and scale a world-class engineering team across key talent hubs including China and USIdentify strong technical leaders and help build a high-quality engineering organizationDefine hiring standards and interview processes to maintain a high engineering barCoordination and ExecutionWork closely with product, research, and leadership teamsEnsure technical workstreams move forward smoothly across teams and locationsHelp resolve cross-team technical and execution challengesWhat You Will NeedStrong technical foundation in system architecture, large-scale systems, distributed architecture.Ability to reason clearly about complex systems and make pragmatic technical decisionsExperience building or leading high-performing engineering teamsStrong judgment on technical trade-offs and engineering prioritiesComfortable operating in early-stage environments with high ambiguityClear communication and ability to align teamsWe are particularly interested in candidates who enjoy building teams, superior products and shaping engineering organisations.How We WorkWe operate as a small, senior, hands-on team. Engineers own features end-to-end — from design discussion through production monitoring.Code reviews and design reviews are expected for all meaningful changes. We discuss architecture openly, make decisions quickly, and ship frequently.Interview processIf there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews.Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, the process to offer may be shorter.

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About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.About the Perception TeamHayden AI's Perception Team develops and refines AI and algorithms that power the company's mobile enforcement systems, processing video and image data to detect traffic violations, parking infractions, and other urban compliance scenarios. The team works cross-functionally with cloud and device engineering to build and deploy perception pipelines that make decisions about the real world and create insights for our customers.About the RoleAs a Perception Engineering Intern at Hayden AI, you will contribute directly to the AI systems that power our mobile enforcement platform. You will work on computer vision and machine learning models that process real-world video and image data to detect traffic violations and urban compliance events.This role sits at the intersection of machine learning, data, and real-world deployment. You may work on improving model accuracy, building or refining training datasets, evaluating edge cases, optimizing inference performance, or developing tooling to support perception pipelines across cloud and on-device environments.You will not be working on side projects—you will own meaningful technical work that contributes to production systems. With guidance from a senior engineer, you’ll design experiments, implement improvements, test performance, and help ship enhancements that directly impact how our systems interpret and act on the physical world.This internship is ideal for someone excited about applied AI—especially computer vision, model evaluation, and deploying ML systems beyond the lab into real-world environments.This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week.Key ResponsibilitiesBelow are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.Take ownership of a real project and see it through to completionBuild and ship features with support from senior engineersWrite clean, scalable codeTest your work and iterate quicklyBe involved in everything from design discussions to deploymentCollaborate with engineers in code reviews and team discussionsParticipate in standups, sprint planning, and retrospectivesSupport the team on ad hoc engineering tasks as they come upHelp improve performance, reliability, or usability where needed​​Ask questions, seek feedback, and apply it quicklyDeliverables or project examples:GPS data analysisTrain Deep learning modelCreate AI datasetsLidar/Camera data toolingTest cases for end-to-end system performanceDevelop a cloud service in the event processing pipelineAdd page or a new user flow to the Portal web applicationRequired QualificationsThe qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.Education:Currently enrolled in a Master’s or PhD program in Computer Science, Mechanical Engineering, or a related technical field. Technical Experience:Experience in one or more of the following programming languages:Python, C++ Personal Attributes:Detail-oriented with a high bar for quality and accuracy.Curious and self-driven, motivated to dig into problems and find root causes.Strong communicator who can clearly document findings and surface issues to the right stakeholders.Collaborative team player who thrives in cross-functional environments.Organized and reliable, with the ability to manage multiple tasks and follow through consistently.Comfortable with ambiguity and able to make progress with limited direction.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design graduate- and industry-level mechanical engineering problems grounded in real practice.Evaluate AI-generated solutions for correctness, assumptions, and engineering logic.Validate analytical or numerical results using Python (NumPy, SciPy, Pandas).Improve AI reasoning to align with first principles and accepted engineering standards.Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for mechanical engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Mechanical Engineering or related fields, e.g. Thermodynamics, Fluid Mechanics, Mechanical Design, Computational Mechanics, etc. 3+ years of professional mechanical engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $50/hour*  Fixed project rate or individual rates, depending on the project Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

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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 Role Snorkel AI is hiring Frontier AI Solutions Engineers who will partner with leading AI labs on their most challenging data problems. This is a high-impact, customer-facing role that combines technical depth with strong presales instincts. You'll partner with customer research teams to design complex data and environments that improve frontier model performance, demonstrating Snorkel's capabilities through research-driven engagements. You'll work at the critical intersection of research, technical strategy, and customer partnership. This includes scoping training data needs, designing RL environments and tasks, developing evaluation frameworks, probing model behavior and failure modes, and translating customer research objectives into actionable technical plans. You'll develop technical specifications, analyze frontier model failure modes, and serve as a thought partner to customer research teams throughout the sales cycle and into early delivery phases. Main Responsibilities Partner with frontier AI research labs to design datasets and environments that improve model performance Lead technical conversations with customer researchers to understand model capabilities, failure modes, data requirements, and success criteria Probe model behavior through systematic evaluation to uncover weaknesses and identify high-impact data interventions Design evaluation frameworks, calibration processes, and quality rubrics that establish measurable project success metrics Develop technical specifications for data projects that balance research rigor with operational feasibility Serve as thought partner to customer research teams throughout the sales cycle, building trust and credibility Stay current on frontier AI research, RL environment design, post-training techniques, and evaluation methodologies Preferred Qualifications Strong expertise in frontier AI concepts including LLMs, training data pipelines, evaluation methodologies, post-training techniques (RLHF, DPO, RLAIF), and domain areas such as coding agents, reasoning, multimodal models, or RL environments Experience in applied ML research, data science, or research-intensive technical roles with customer-facing or collaborative research experience Proficiency in Python and familiarity with ML frameworks and LLM APIs Excellent communication skills — ability to deliver technical presentations and explain complex concepts to diverse audiences Familiarity with data curation workflows, synthetic data generation, LLM-as-a-Judge, or evaluation framework design Ability to work in a fast-moving environment, comfortable with ambiguity and rapid iteration B.S. in Computer Science, Machine Learning, or related field with 4+ years of experience in AI/ML solutions engineering or technical customer-facing roles Compensation range for Tier 1 locations of San Francisco Bay Area and New York City, $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Why Join Snorkel AI? At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges — creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to own technical data workflows and be a founding member of the technical DaaS team.  #LI-CG1 Salary Range  -   Salary Range $172,000—$300,000 USDBe 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.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey’s products all depend on a shared AI foundation: the model layer and agent infrastructure that determine the quality of work our agents deliver. Legal is one of the hardest domains for AI: documents run to hundreds of pages, matters can span millions of files, and there is zero margin for error on accuracy.The AI Platform team builds the foundation that every product and agent team at Harvey builds upon. This team is early and there’s a lot to build: model routing, agent architecture, context management, evals. Your work here sets the ceiling for what Harvey’s AI can do.Representative ProjectsContext Engineering & Agent Infrastructure. Build the platform-level systems for context management, session state, and memory that all of Harvey’s agents and products rely on.Model Integration & Routing. Own the infrastructure that lets Harvey onboard new foundation models fast and route to the right one for every task - a capability every product team depends on.Evaluation Infrastructure. Build the shared eval tooling and frameworks that let every team across Harvey measure and improve AI quality systematically.Shared Abstractions. Create the SDKs, platform primitives, and developer tooling that make it dramatically easier for product teams to ship AI-powered features.What You’ll DoDesign and build abstractions and platform-level systems that improve all of Harvey’s agentic products.Own infrastructure for model integration, routing, and evaluation that helps Harvey choose and deploy the right foundation model for any given context.Build evaluation frameworks and tooling that let every team across Harvey iterate on AI quality effectively.Partner closely with product engineering teams, PMs, and design to launch cutting-edge AI products.Evaluate, prototype, and integrate the latest advancements in AI and agentic systems as they emerge.What You Have5+ years of experience building backend systems, with at least 1+ year focused on AI/ML engineering. Staff candidates will typically have 8+ years and a track record of technical leadership across teams.Experience building and shipping multi-model or multi-provider AI systems in production.Familiarity with context management, session state, or memory systems in AI or distributed systems. You’ve thought about what the model sees and why it matters.A track record of building internal platforms, SDKs, or shared infrastructure that other engineering teams actually adopted - and an understanding of why developer experience matters as much as raw capability.Strong judgment about abstractions. Opinionated about good design but pragmatic about shipping incrementally.Excitement about agentic AI and the infrastructure challenges of making autonomous systems reliable when the stakes are real.A bias toward full ownership: you navigate ambiguity well and don’t wait for a roadmap to start solving problems.Bonus: experience building evaluation frameworks, working with agent/function-calling architectures, familiarity with legal or other high-stakes professional services domains, or time at early-stage or hyper-growth startups where the underlying technology changes regularly.Compensation$154,000 - $264,000 CADHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Applied AI Research Engineer – ML Systems & Structured DataLocation: Bay Area (Mountain View) Employment Type: Full-time Work Model: On-site Department: Research Compensation: $160K – $250K + EquityOverviewGranica is building the next generation of efficient AI infrastructure.Today’s AI systems are limited not only by model design but by the inefficiency of the data that feeds them. At enterprise scale, redundant data, inefficient representations, and poorly optimized learning pipelines create enormous cost and latency.Granica’s mission is to eliminate that inefficiency.We combine advances in information theory, machine learning, and distributed systems to design data infrastructure that continuously improves how information is represented and used by AI.Granica’s research effort is led by Prof. Andrea Montanari (Stanford) and focuses on building learning systems that operate efficiently on large-scale structured and tabular data.While much of the industry focuses on text or media models, Granica is building the foundations of AI systems that learn directly from structured enterprise data.This role focuses on building machine learning systems for structured and tabular data rather than general LLM application development.The RoleThe Applied AI Research Team sits at the intersection of theory and production.Your work will take ideas emerging from fundamental research and turn them into practical algorithms, optimized pipelines, and production-ready ML systems that operate across petabytes of structured enterprise data.This is a high-ownership role for engineers who can think like researchers and build like systems engineers.You will translate theory into measurable performance improvements and help define the engineering foundations of structured AI.What You’ll DoTurn research into working systemsTransform foundational ideas from Granica Research and Prof. Andrea Montanari’s group into scalable algorithms and prototypesBuild evaluation harnesses, datasets, and benchmarks that measure real signal from research ideasDefine and improve metrics that quantify progress in structured AI systemsInvent and optimize algorithmsDevelop efficient learning methods for relational, tabular, graph, and enterprise datasetsPrototype representation learning architectures and compression-aware modelsExplore new approaches for learning from heterogeneous structured dataBuild high-performance ML pipelinesImplement fast training and inference pipelines using PyTorch, JAX, or custom kernelsOptimize memory usage, compute utilization, and data movementImprove cost, latency, and throughput for large-scale ML workloadsBuild hybrid AI systemsDesign systems integrating symbolic, relational, and neural componentsEnable AI models to reason over structured datasets without relying on text intermediariesCollaborate across research and engineeringWork with Research Scientists to validate hypotheses at scaleWork with Systems Engineers to integrate algorithms into Granica’s data platformWork with Product Engineering to ship features powering real enterprise workloadsIterate fast and measure everythingRun controlled experiments and analyze performance improvementsDeliver results with clear benchmarks and reproducible evaluationsDrive the cycle from prototype → production → optimizationWhat You’ll BringTechnical DepthStrong background in machine learning, probabilistic modeling, optimization, or large-scale ML systemsExperience building algorithms for structured, relational, tabular, or graph dataAbility to reason from first principles about scaling behavior, efficiency, and information flowSystems EngineeringHands-on experience with PyTorch, JAX, TensorFlow, or similar ML frameworksStrong programming skills in PythonExperience with systems languages such as Rust, C++, or CUDA is a plusExperience building large-scale ML pipelines, evaluation frameworks, or distributed systemsApplied MindsetProven ability to turn research ideas into performant, reliable codeComfort working in research-driven environments with ambiguous problem definitionsStrong experimentation discipline and focus on measurable performance improvementsBonus ExperienceStructured representation learning, tabular ML, relational learning, or graph MLExperience with large-scale training infrastructure or distributed MLFamiliarity with data systems, query engines, or large-scale data pipelinesExperience building evaluation infrastructure for ML systemsOpen-source contributions or collaborative work bridging research and production systemsWhy This Role MattersThe world’s most valuable data is structured.Most AI systems today are not built to learn from it efficiently.Granica is building the systems that close this gap.Your work will help define the engineering foundations of structured AI — designing the algorithms, pipelines, and infrastructure that enable efficient learning from enterprise data at global scale.This role offers:high ownershipreal research impactimmediate production relevanceand the opportunity to shape a new generation of AI systems.Compensation & BenefitsCompetitive salary, meaningful equity, and substantial bonus for top performersFlexible time off plus comprehensive health coverage for you and your familySupport for research, publication, and deep technical explorationAt Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

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Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checksCraft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) Analyze AI failures to understand what the model struggles with vs. what it masters Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteriaWhat we look forThis opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Computer Science, Software Engineering or related fields 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systemsExperience writing tests (functional, integration – not just running them) Docker containers (running evaluations locally in containers) CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) English proficiency - B2How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.CompensationOn this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation isproject-based, not permanent employment.What this opportunity involves You’ll create challenging coding test cases that push AI coding systems to their limits: Review and refine realistic coding tasks based on provided production codebases with realistic scope, requirements and information sources  Write comprehensive functional tests that validate actual end-to-end behavior and edge-cases, not just superficial checksCraft “fair but hard” challenges where the AI has all the context it needs, but has to work for it (information scattered across files and external sources, complex reasoning required) Analyze AI failures to understand what the model struggles with vs. what it masters Iterate based on feedback from expert QA reviewers who score your work on 7 quality criteriaWhat we look forThis opportunity is a good fit for experienced developers, software engineers, and/or test automation specialists open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Computer Science, Software Engineering or related fields 5+ years in software development, primarily Python (pytest, async/await, subprocess, file operations) Background in Full-Stack development, with an equal focus on building React-based interfaces and robust Back-end systemsExperience writing tests (functional, integration – not just running them) Docker containers (running evaluations locally in containers) CI/CD understanding (GitHub Actions as a user: triggers, labels, reading results) English proficiency - B2How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Effort estimate Tasks for this project are estimated to take 20 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.CompensationOn this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design graduate- and industry-level automotive engineering problems grounded in real practice; Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); Improve AI reasoning to align with first principles and accepted engineering standards; Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. 3+ years of professional automotive engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $50 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design graduate- and industry-level automotive engineering problems grounded in real practice; Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); Improve AI reasoning to align with first principles and accepted engineering standards; Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. 3+ years of professional automotive engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $33 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.Why This Role?Cohere’s team partners with Canadian public sector organisations to unlock transformative value through secure, ethical deployment of Generative AI (GenAI) solutions. We work collaboratively to address complex societal challenges while maintaining the highest standards of data security and compliance. You will work directly with public sector customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors.We are seeking engineers with diverse skill sets, including backend, infrastructure, agent development, and deployments, who deeply care about customers and want to work at the cutting edge of Agentic AI.Location: Ottawa or Toronto required (proximity to government customers), 20-40% travel anticipated Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be consideredIn this role, you will:Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataExperiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectationsWork across the entire product lifecycle from conceptualization through productionLead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rolloutYou may be a good fit if:You have experience with and enjoy working directly with customersYou have shipped (lots of) Python in productionYou have built and deployed highly performant client-side or server-side RAG/agentic applicationsYou have strong coding abilities and are comfortable working across the stack. You’re able to read and understand, and even fix issues outside of the main code baseYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the team Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.About the roleAs a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions. This role requires hands-on technical excellence combined with crucial team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigour across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI.What you'll be doing:Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.Conceiving the core data science approach and designing the associated robust software architecture for new engagements.Mentoring a small number of data scientists and supporting the professional growth of technical team members on projects.Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.Contributing to Faculty’s thought leadership and reputation through delivering courses, public speaking, or open-source projects.Ensuring best practices are followed throughout the project lifecycle to guarantee high-quality, impactful delivery.Who we're looking for:You possess senior experience in a professional data science position or a quantitative academic field.You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch).You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit, including the ability to develop new, innovative algorithms.You bring a leadership mindset, focused on growing the technical capabilities of the team and nurturing a collaborative culture.You exhibit commercial awareness, with experience in client-facing work and the ability to translate business problems into a rigorous mathematical framework.You are skilled in project planning, assessing technical feasibility, estimating delivery timelines, and leading a team to deliver high-quality work on a strict schedule.Our Interview ProcessTalent Team Screen (30 minutes)Take Home Technical AssessmentTechnical Interview (90 minutes)Commercial Interview (60 minutes)Our Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid WorkingIf you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.