AI Data Science & Analytics Jobs

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Who we are:  AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. AI Fund is a venture studio founded by Dr. Andrew Ng in 2017. Our portfolio companies use  AI technology to build  applications across numerous industry sectors. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, venture capitalists, investors, and operators. We are backed by a $370-million dollar fund from top-tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward What We’re Looking For: For the Technical Builder role, we are seeking a Senior AI Full-Stack Engineer with a strong architecture background, fluent in full-stack development and proficient in designing scalable AI-driven systems. You should be deeply experienced in architecting complex applications, leveraging modern Generative AI frameworks, and comfortable leading the design of robust, production-grade architectures. The ideal candidate thrives in fast-paced environments where the goal is to quickly build and iterate on full-stack applications leveraging cutting-edge AI techniques, as well as guiding technical vision and defining architectural patterns. You're passionate about staying ahead of the curve in AI—constantly exploring new tools, frameworks, and best practices. You’ll collaborate closely with world-class founders, product thinkers, and engineers to bring experimental ideas to life through functional prototypes. This role puts you in the front row of where AI is heading, working with technologies that are helping shape the future. If you’re driven by curiosity, innovation, and the thrill of building what’s next—this is the role for you. What you will do: Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibilityApply GenAI building blocks (prompt engineering, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world developmentLead architecture design and technical planning for scalable AI applications, ensuring system reliability, maintainability, and performanceMake key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalabilityCollaborate cross-functionally with product, design, and AI experts to create, test, and iterate on new conceptsUse AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to enhance productivity and speed of iterationGather user feedback and iterate quickly based on insights to improve usability and effectivenessDeploy and manage applications on cloud infrastructure (e.g., AWS, GCP, Supabase)Build and integrate APIs and third-party servicesParticipate in architecture discussions and technical planningIdentify and troubleshoot issues across the stackContribute to improving development processes, tools, and team practicesStay current with industry trends and emerging technologies What you must bring: 7+ years of experience in software engineering with significant architecture responsibilities, including at least 3 years developing AI-powered applicationsDemonstrated experience building applications that incorporate Generative AIProficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrailsExperience with front-end technologies like JavaScript, HTML, CSS, and modern frameworksStrong back-end skills, particularly with PythonFamiliarity with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective useProven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systemsExpertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML componentsDeep curiosity and a fast-learning mindset—especially around emerging trends in AIAbility to write scrappy, disposable code for fast prototyping, and clean code for scalable productsStrong communication skills and ability to work collaboratively across disciplines Nice to have: Experience gathering user feedback directly and iterating based on insightsExposure to rapid prototyping methodologies and shipping MVPsInterest or experience in product design and product thinkingContributions to open-source GenAI projects or toolsFamiliarity with serverless architectures or edge computingPrior experience as a technical lead or architect on teams delivering AI-driven productsKnowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)Experience with large-scale system design and high-performance cloud infrastructuresFamiliarity with governance, compliance, and security aspects in AI application architecture

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We are looking for a Senior Product Manager AI to join our client's dynamic team. The ideal candidate will have experience in startups, preferably American, and a proven track record in the e-commerce sector. This role is for someone with a solid understanding of AI model evaluation, capable of transforming complex processes into tangible product improvements. Qualifications:- +7 years of Product Management experience, preferably within the e-commerce sector.- Experience working and establishing credibility with cross-functional leaders.- Strong communication skills, both written and verbal.- Previous experience in AI/LLM model evaluation.- Deep knowledge of tracking real model performance metrics rather than UX-only metrics.- Ability to dig into the details without losing sight of the bigger picture.- Product management experience with a strong process orientation.-Engineering degree strongly preferred. Responsibilities:- Design and implement evaluation frameworks for AI models, focusing on hallucination rate, latency, accuracy, and model consistency.- Develop evaluation tooling, dashboards, and automated benchmarks to measure AI model performance.- Own A/B testing for model selection and performance validation.- Collaborate closely with machine learning engineers on real-time model monitoring.- Embrace a process-focused approach, using clear workflows in Jira, Gantt charts, and effective engineering story management.- Ability to demonstrate how model evaluations have directly improved product outcomes. 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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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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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoAdvocate for Lambda’s ProductsDevelop and maintain expertise in Lambda’s cloud products and servicesDemonstrate Lambda’s software and solutions to customers, partners and staffCreate field enablement materials for technical audience, lead workshops and support product advocacy effortsProvide technical feedback from customers to Lambda’s product and marketing teamsOwn the technical side of Lambda’s sales process.Partner with Lambda account executives to drive customer adoption and ensure successful deliveryEvaluate and assess customers needs to deeply understand pain-points, bottlenecks and expected outcomesRecommend appropriate cloud services and configurations to design a cohesive solution that supports the customers applications and workflowDocument proposal and designs in formats including but not limited to presentations, white-papers, visuals, Bill of Materials and rack elevationsDemonstrate expertise on Lambda’s cloud infrastructureBuild structured and purposeful learning into your work routineDevelop and support internal Lambda community as a subject matter expertBe an expert at deploying AI/ML workloads on Lambda cloudStay up to date on the latest deep learning trends, best practices and experiment with them using internal tools and resourcesDevelop high quality processes and documentationReinforce Lambda’s cultureContribute positively throughout the organizationMaintain a high level of agility and responsivenessHyper-focused on customer satisfactionYouHave 8+ years of experience designing, deploying and scaling cloud infrastructureHave 4+ years of experience as a solutions architect or consultative capacity supporting cloud infrastructure and servicesHave 3+ years of experience working with cloud-based AI/ML servicesHave deep knowledge of the ML ecosystem, including common models, practical use cases, and supporting toolsHave experience building with modern infrastructure tools such as Docker, Kubernetes, Ansible and TerraformHave deep knowledge of cloud infrastructure, security, networking, and cost optimization techniquesHave experience coding in Python, C# or similar programming languageHave experience developing with NVIDIAs GPUsHave led complex technical projects with diverse stakeholdersHave demonstrated impact at an organizational/multi-departmental levelHave experience leading complex cloud deals, influencing C-level stakeholders, and mentoring junior SEs or architectsThrive in dynamic settings and embrace radical ownership of initiatives and outcomesNice to HaveExperience with AI/ML use case to algorithm selection, training, tuning, inference, and training pipeline design and build.Participation in go-to-market (GTM) initiatives or product launchesExperience working with LLM architecturesExperience working with RESTful API and general service-oriented architectureSalary Range InformationBased on market data and other factors, the salary range for this position is $249,600 - $374,400 OTE. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Ema, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the AI landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product.In this role, You Will:Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript.Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes.Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC.Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python.Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability.Optimize web applications for performance, accessibility, and SEO best practices.Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices.Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel.Ideally You'd Have:Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.A minimum of 4 years of professional experience in full-stack development, with a focus on front-end engineering and API integration.Strong proficiency in HTML, CSS, and JavaScript, with extensive experience in React.Experience with gRPC for client-server communication, and familiarity with RESTful APIs, JSON, XML, and OAuth.Solid understanding of back-end technologies such as Node.js or Python, and experience working with server-side frameworks (e.g., FastAPI, Express).Familiarity with version control systems like Git and build/deploy platforms such as Vercel.Excellent problem-solving and analytical skills, with a strong commitment to delivering high-quality user experiences across both front-end and back-end.Strong communication and collaboration skills, with the ability to work effectively both independently and as part of a team.For California based candidates: The standard base salary for this position is $135,000-$300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

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Founding EngineerRemote (Global) | Full-Time | Competitive Salary + Meaningful EquityWebsite: withradiance.comPlease apply using the provided form, candidates who directly email will not be considered.Meet RadianceThe Source® of all your creative collateralRadiance is a digital design agency powered by The SOURCE® — a Creative OS that learns and evolves with your brand. As you work, it works: streamlining operations, accelerating creative, and scaling your entire brand system.We combine human-crafted design with intelligent systems to help modern brands grow with clarity, creativity, and impact.Every project is crafted for long-term value — not just assets, but infrastructure. Radiance delivers bold creative backed by strategic insight, made to perform across media, commerce, and customer experience.At the center of it all is The SOURCE® — a proprietary platform that powers everything we do. It brings together design, AI, and automation into a single, adaptive system that grows with you.Why This Role ExistsWe’re looking for a sharp, systems-minded full-stack engineer who builds with urgency, curiosity, and care. You’ll partner directly with the founders to translate ideas, client feedback, and strategic needs into real, production-grade tools.This isn’t just a role for implementing specs — it’s for someone who thrives in ambiguity, sees the edge of a fuzzy idea, talks to users, and ships features that stick.As an early hire, you'll also help shape our foundational engineering principles and how we build as a team.What You’ll DoArchitect and scale RAG pipelines, agent-based systems, and LLM-powered workflowsFine-tune large language models for structured data extraction and automationBuild developer-friendly APIs and interfaces for web automationShip product features fast — with real usage and feedbackWork closely with the team and customers to build what mattersStay ahead of the curve on LLM tools, embeddings, orchestration, and trainingCreate elegant, resilient systems that just workWhat You BringStrong full-stack engineering experience (Python backend + Vue or equivalent frontend)A systems mindset — architecture, UX, and scalability are one conversation to youHands-on familiarity with production level AI tooling: prompt design, agents, vector DBs, etc.Clear, proactive communication — you explain not just what you’re doing, but whyAutonomy — you move quickly and make things realPragmatism — you build what works, not just what’s elegantBonus PointsBuilt LLM-based agents, fine-tuned models, or designed RAG pipelines in productionContributed to open-source projects in AI, ML, or developer infrastructureExperience with AWS, Postgres, and scalable backend systemsTrained or fine-tuned foundation models from scratch or with custom dataWorked on web automation, scraping, or structured data extraction workflowsWhy Join Radiance?Founding seat. Help define the product and shape how we build from the ground upFast feedback loop. Internal users are power users — what you ship gets usedDesign-forward culture. Work alongside world-class strategists and brand thinkersRemote-first, async-friendly. High trust, low overheadMomentum. We ship features in days — not quartersCompetitive salary + meaningful equityBacked by invisible.co, and founded by repeat entrepreneursOur Interview ProcessWe keep things human, clear, and practical. The process includes a few conversations to get to know each other and either:A short project (done on your own time, then discussed in a review call)Or a collaborative working session, where we build something togetherWe’ll align on the format that works best for you.Radiance Is for You If:You think in systems and love building from zeroYou care about clean UX, smart architecture, and long-term impactYou want to work closely with founders and users to shape the productYou’re excited by creative tools, AI workflows, and fast iterationYou thrive in autonomy, take initiative, and move with purposeRadiance Is Not for You If:You need detailed specs and tightly scoped tasksYou prefer to stay in your lane and avoid user conversationsYou’re not interested in design systems or GenAIYou’re optimizing for predictability over ownership

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This role is remote and can be executed globally. About ElevenLabs ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location. We are remote first with optional in-person offices in San Francisco, New York, Dublin, London, Tokyo, and Warsaw.About the roleWe are looking for freelance Dubbing Specialists to join our fast-growing Productions team. Productions is a new marketplace that brings together our AI audio tools and a network of human experts to unlock high-quality, human-edited transcripts, subtitles, dubs, audiobooks, and more at scale for our users and customers. While Productions is just getting started, we already manage content workflows for some of the world's top YouTube channels, book publishers, and media & entertainment businesses. Here's what you can expect in our team:Optimizing translations for dubbed contentProducing natural sounding dubbed audio using a combination of toolsVoice casting to ensure content sounds natural in your languageCollaborating with our audio engineering and mixing teams on editsCompetitive task-based compensationFlexible workload and scheduling - claim and complete jobs directly on our platformRequirements:Native or near-native fluency in one or more supported languagesPrior experience in dubbing and translating audiovisual contentStrong attention to detail and commitment to linguistic accuracyAbility to work independently and deliver high-quality work on timeBonus:Previous work with language service providers, localization teams, or media companiesExperience using the ElevenLabs DubbingStudio and/or other AI-assisted dubbing tools#LI-Remote

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role:   Glean is looking for Backend/Infrastructure engineers to build a highly performant, scalable, secure, permissions-aware system that makes all the relevant enterprise knowledge readily available to employees in all contexts of their work. The role provides ample opportunities to work on various aspects of building a modern cloud-native application stack using the latest best practices  - examples of some technical challenges you can work on are building a scalable, reliable distributed system and underlying storage, a unified application framework and data model that makes it easy to index diverse sources of information, end-to-end aspects of security - application layer, platform layer as well as IT security, laser focus on making the experience feel instant, while at the same time balancing the system cost implications, and tooling for comprehensive monitoring and deployment of the system in multiple cloud environments.   You will: Own impactful infrastructure problems from inception and architecture to production launch Write well thought out design documents and robust, high-quality and well-tested code Work collaboratively with a strong team to identify the most impactful projects we should be prioritizing in our roadmap Mentor more junior engineers or learn from battle tested ones You are: 3+ years of experience BA/BS in computer science, or related degree Experience working on infrastructure for distributed systems or cloud-native applications Key knowledge and skills Thrive in a customer-focused, tight-nit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features Strong coding skills (for example in Go/Python/Java/C++ etc) with an emphasis on designing for reliability and scale, and writing well-tested components Familiarity with cloud native development practices in GCP/AWS/Azure is a plus Location:  This role is hybrid (3 days a week in either San Francisco or Palo Alto) Compensation & Benefits: The standard base salary range for this position is $140,000 - $265,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.As a Senior Product Marketing Manager at Ada, you’ll play a pivotal role in shaping how our AI-powered customer service solutions are positioned and adopted across enterprise organizations. You’ll drive go-to-market success by developing differentiated messaging, launching new capabilities, and enabling our customer-facing teams. With a strong understanding of the AI technology landscape, CCaaS (Contact Center as a Service), and CX, you’ll help ensure Ada’s offerings are aligned with the evolving needs of modern customer service organizations. About you 7+ years of B2B SaaS product marketing experience within the enterprise segment, ideally in domains such as AI applications, CCaaS, CX, or contact center technology. Proven track record working across cross-functional workstreams including product management, marketing, customer success, and revenue teams. Experience bringing technical or AI-driven products to market and enabling internal teams with clear, compelling messaging and tools. Strong customer-centric, data-driven mindset with exceptional verbal and written communication skills. A compelling storyteller with a strategic, analytical approach and the ability to confidently present at conferences, webinars, and customer meetings. Highly organized with the ability to prioritize multiple concurrent projects, all while maintaining a high bar for quality and execution. Outcomes  Product positioning and messaging: Craft compelling, differentiated messaging and positioning that resonates across verticals and personas. Ground your narratives in market research, competitive analysis, and customer insights, and ensure they are consistently reflected in sales tools, campaigns, and web content. Successful launches: Lead cross-functional go-to-market efforts for product launches, driving launch execution and post-launch adoption metrics. Partner closely with product, sales, brand, and marketing teams to define and deliver campaigns that accelerate product adoption. Resonant storytelling: Ensure every campaign, launch, and GTM initiative reflects a deep understanding of the customer service audience, continuously informed by market research, win/loss analysis, and customer interviews. Sales enablement: Empower sales and CX teams with tailored collateral (eg. battlecards, customer case studies, data sheets, pitch decks, and competitive briefs), equipping them to confidently position Ada’s AI capabilities against traditional and emerging players. Customer advocacy: Cultivate relationships with key customers to source feedback, capture impactful stories, and turn them into compelling proof points and references for marketing and sales efforts. Feedback loops with product: Act as the voice of the market within Ada, ensuring that customer feedback, competitive dynamics, and adoption insights continuously influence Ada’s AI product roadmap. The expected salary range for this position is $125,000 to $155,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.At Harmattan AI, we design and deploy advanced AI-powered systems for defense. Our work sits at the intersection of cutting-edge technology and national security, fast-moving, high-stakes, and deeply mission-driven.We hire selectively and work with urgency, precision, and a commitment to solving problems that matter. If you're exceptional in your field and driven by building real-world impact, we want to hear from you.Even if no listed role matches your profile, we welcome proactive applications from individuals who thrive in high-responsibility environments and bring deep expertise in areas such as:Aerospace & Robotics – GNC, autonomy, flight software, mission planningEmbedded Systems & Hardware – FPGA, real-time systems, electronicsSoftware & AI – machine learning, perception, signal processingBusiness, Strategy & Operations – program execution, partnerships, international expansionWhat we’re looking forWe value individuals who:Set a high personal bar for quality and technical excellenceTake ownership and move fast under uncertaintyPush boundaries, challenge assumptions, and deliver under pressureAre motivated by complex challenges with meaningful geopolitical stakesWhat to includeA resumeA short message telling us what you’re best at, and how you think you could contribute to our missionWe review all applications thoroughly and will reach out if there’s a potential fit.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a GNC Engineer on the UAV team, you’ll design and develop advanced guidance, navigation, and control (GNC) solutions. From integrating and fusing sensor data to developing control laws and flight trajectories, you'll take your work from simulation to embedded implementation and ultimately to live flight testing.ResponsibilitiesDevelop state-of-the-art navigation and sensor fusion algorithms for UAVsDesign and implement GNC and flight control systemsBuild filtering and estimation strategies for robust and efficient flight performanceRun extensive simulations (Monte Carlo, SITL, HITL) and coverage testingAnalyze test flight data and refine algorithmic performanceSupport full-stack system integration: GNSS, INS/IMU, localization, and fusionMaintain and evolve a flight-proven flight computer across multiple UAV platformsRequirementsEducation : Engineering school or master's degree in computer science, engineering, or a related technical field3+ years of experience in aerospace GNC systemsStrong foundations in control theory, estimation, and sensor integrationProficient in Python and embedded C/C++Experience with simulation tools (e.g., Gazebo) and version control (Git)Familiarity with open-source autopilots (PX4, Ardupilot, Betaflight, etc.)Hands-on electronics and integration skills: debugging, soldering, harnessingBonus: FPV pilot hobbyistWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Join our clients' innovative team as an Acting Teacher – Voice AI Trainer. In this role, you will blend your expertise in expressive vocal modulation and audio direction with advanced AI technology to help develop the next generation of voice-driven tutoring tools. Work remotely with a dynamic team on a cutting-edge audio description mini-pilot project. Key Responsibilities:- Collaborate closely with AI developers to enhance voice recognition and synthesis capabilities.- Provide expert guidance on a wide variety of accents and regional dialects for AI voice training purposes.- Lead intensive voice coaching sessions, emphasizing dialect accuracy and expressive speech.- Evaluate and refine AI-generated audio outputs for clarity, authenticity, and consistency.- Develop comprehensive training materials and exercises for AI voice modulation and inflection.- Assist in the iterative testing and optimization of the AI's accent and dialect performance.- Document training progress, findings, and recommendations for the wider development team. Qualifications:- Proven experience as a professional acting teacher, voice coach, or voice acting instructor.- Demonstrated expertise in a broad range of accents and regional dialects.- Exceptional written and verbal communication skills, with an emphasis on clarity, care, and precision.- Strong ability to work both independently and collaboratively in a remote environment.- Experience in voice directing for diverse performance-based projects. Nice to have:- Background in AI, speech technology, or technology-driven voice projects.- Awareness of trends and best practices in voice synthesis, speech technology, and AI learning.- Experience developing detailed, structured voice training modules or curriculum. 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 Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 25; now, we’re 60 and continuing to accelerate. What to expect - High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot compared to your peers. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed. - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 90+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. Who we are looking for We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects. An engineer in this position will operate with high degrees of autonomy and will work to build and extend multiple foundational systems. They will be expected to use simple tools to craft performant, reliable and maintainable solutions to challenging problems - both technical and product. What to expect High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own rightImpact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges. About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential. In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOThis is a hybrid role based out of our Dubai office.

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About the TeamThe Kernels team at OpenAI builds the low-level software that accelerates our most ambitious AI research.We work at the boundary of hardware and software, developing high-performance kernels, distributed system optimizations, and runtime improvements to make large-scale training and inference more efficient.Our work enables OpenAI to push the limits by ensuring models - from LLMs to recommender systems - to run reliably on advanced supercomputing platforms. That includes adapting our software stack to new types of accelerators, tuning system performance end-to-end, and removing bottlenecks across every layer of the stack.About the RoleOn the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference.Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads.You’ll work across the stack, collaborating with both hardware and software aspects - working on kernels, sharding strategies, scaling across distributed systems, and performance modeling.You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads. This is not a compiler-focused role, rather bridging ML algorithms with system performance - especially at scale.In this role, you will:Prototype and enable OpenAI's AI software stack on new, exploratory accelerator platforms.Optimize large-scale model performance (LLMs, recommender systems, distributed AI workloads) for diverse hardware environments.Develop kernels, sharding mechanisms, and system scaling strategies tailored to emerging accelerators.Collaborate on optimizations at the model code level (e.g. PyTorch) and below to enhance performance on non-traditional hardware. Perform system-level performance modeling, debug bottlenecks, and drive end-to-end optimization.Work with hardware teams and vendors to evaluate alternatives to existing platforms and adapt the software stack to their architectures.Contribute to runtime improvements, compute/communication overlapping, and scaling efforts for frontier AI workloads.You might thrive in this role if you have:3+ years of experience working on AI infrastructure, including kernels, systems, or hardware-software co-designHands-on experience with accelerator platforms for AI at data center scale (e.g., TPUs, custom silicon, exploratory architectures).Strong understanding of kernels, sharding, runtime systems, or distributed scaling techniques.Familiarity with optimizing LLMs, CNNs, or recommender models for hardware efficiency.Experience with performance modeling, system debugging, and software stack adaptation for novel architectures.Exposure to mobile accelerators is welcome, but experience enabling data center-scale AI hardware is preferred.Ability to operate across multiple levels of the stack, rapidly prototype solutions, and navigate ambiguity in early hardware bring-up phasesInterest in shaping the future of AI compute through exploration of alternatives to mainstream accelerators.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.As a Senior/Staff Backend Engineer, you will: Build and ship features for North, our AI workspace platformDevelop autonomous agents that talk to sensitive enterprise dataWrite and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanismsAs security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or toolingCollaborate with researchers to productionize state-of-the-art models and techniquesYou may be a good fit if:Have shipped (lots of) Python in productionYou have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of usersYou 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’ve worked in both large enterprises and startupsYou 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! 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 Brain Co.Brain Co. is at the forefront of productionizing artificial intelligence for real-world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real-world problems in various governments and industries where manual work is still dominant. We are seeking visionary full stack software engineers with a passion for AI to join us. You'll be converting groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges. About The RoleAs an AI Product Engineer at Brain Co., you will play a pivotal role in building and deploying state-of-the-art software solutions to automate various real-world problems. You will work directly with the customer to develop the product spec and building from zero. From designing robust front-end interfaces to developing scalable back-end systems, you will turn research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design, develop, and deploy advanced software solutions that integrate AI to tackle real-world problems, particularly in automating complex, manual processes in government and industrial sectors. Utilize modern web frameworks, microservices architecture, and cloud computing to build applications that apply AI to intricate optimization challenges.Make a Big Impact: Interact directly with key customer stakeholders to apply pioneering AI solutions while working alongside experienced ex-founders, government officials/ministers, AI researchers, and engineers. Understand complex business challenges and deliver software solutions powered by AI. Join a dynamic team where ideas are exchanged freely, and creativity flourishes. You will wear many hats: software development, product management, sales, and interpersonal skills.Optimize and Scale: Build scalable data pipelines, integrate industrial sensor networks, optimize application performance and reliability, and prepare systems for production. Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems.Learn and Lead: Stay abreast of the latest developments in software engineering and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices. Mentor junior engineers and lead by example.Make a Difference: Monitor and maintain deployed applications to ensure they continue delivering value across various governments worldwide. Work directly with customer engineers and SMEs to develop and tune applications that optimize their workflows and deliver tangible upside. Your work will directly impact how AI benefits individuals, businesses, and society at large.You will thrive if you:Minimum 4+ years of experience and an appetite for working directly with the customer to develop the software spec and build from zeroExperience with front-end and back-end technologies, microservices, and cloud platformsExperience with modern web tooling such as React, Typescript, RESTful APIs, and database management systemsPossess a strong foundation in software design principles, data structures, and algorithmsExhibit excellent problem-solving and analytical skills, with a proactive approach to challengesEnjoys working collaboratively with cross-functional teamsThrive in fast-paced environments where priorities or deadlines may compete.Eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job doneHold a Bachelor’s/Master’s degree in Computer Science, Software Engineering, or a related fieldBenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $250,000 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.

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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 looking for a Research Engineer to join our Handshake AI Research team, where you'll help shape what the next generation of AI models can achieve. This is a hands-on, high-impact role focused on post-training methodologies, specialized domain data verification, and creating cutting-edge LLM benchmarks that measure real-world impact.As a Research Engineer, you'll bring deep technical skill, curiosity, and rigor to every stage of the research-to-deployment pipeline—whether it's designing robust distributed infrastructure for massive experiments, writing high-performance ML code, or developing benchmarks and evaluations that define the future of AI capabilities.Location: San Francisco, CAYour roleDesign and implement post-training systems and methodologies in close partnership with research scientists and domain expertsBuild and maintain infrastructure that supports large-scale model training, specialized data processing, and benchmark evaluationDevelop robust frameworks for verifying the quality and integrity of highly specialized domain datasetsCreate next-generation LLM benchmarks that push the boundaries of model evaluation and capabilities assessmentOptimize performance across software and hardware layers to accelerate post-training experimentation and deploymentCollaborate across disciplines to ensure rigorous validation of model improvements and benchmark reliabilityYour experienceStrong Python programming skills with attention to clean, efficient, and scalable codeExperience building and operating large-scale systems for model post-training, specialized data processing, or benchmark evaluationDeep familiarity with PyTorch and modern post-training techniques (RLHF, constitutional AI, etc.)A background in applied machine learning, model evaluation, or large-scale data quality assessmentExperience with benchmark design, evaluation methodologies, and performance measurement frameworksClear communication skills and a collaborative mindset for cross-functional research teamsNice to HaveExperience optimizing deep learning models for performance (e.g., memory usage, training speed)Interest in the societal and ethical impacts of AI technologiesContributions to open-source ML infrastructure or toolsWhy 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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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.