AI Data Science & Analytics Jobs

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an experienced Frontend-focused Engineer to help revolutionize the way people search and interact online. In this role, you'll be developing the future of AI products. Tech Stack: React | TypeScript | Python | Docker | AWS Responsibilities Develop new UX patterns to solve for user experience in an AI world Work with and improve the components that form the building blocks of Perplexity's frontend Iterate closely with design to prototype and implement new features Create scalable UX solutions in a rapidly evolving space. Analyze performance and reliability of features in a realtime, non-deterministic application. Key Qualifications Strong coding fundamentals, and some experience working across the stack. Ability to build foundations that others can build on top of. Experience with highly interactive React applications using strongly typed code Knowledgeable about design and UI patterns at scale Passion for prototyping, experimentation, and creating accessible experiences Extreme ownership mindset Takes pride in getting the small details right 4+ years of industry experience The cash compensation range for this role is $180,000 - $300,000   Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is looking for an experienced Backend Engineer to join the team building Perplexity Finance. Perplexity Finance is one of our fastest-growing products, enabling retail investors to do their best work and financial research. You’ll build products for our finance dashboard as well as for Perplexity search and Comet, which are revolutionizing the way people search and interact with the internet. You will be responsible for leading design, implementation, and scaling of backend systems that power web, mobile, and browser products — all with the goal of making premium-quality financial data and decision-making available to users globally. Tech Stack: Python | PostgreSQL | DynamoDB | Redis | FastAPI Responsibilities Build scalable systems that ingest and process data from the web, files, and other sources Optimize interfaces that interact with databases and caching systems Collaborate with PMs, frontend engineers, and other stakeholders to understand product requirements Work closely with AI, Search, and Data Science teams to iterate on non-deterministic systems Manage a complex orchestration system with many moving parts and interfaces Scale, optimize, and load balance multiple services with rapidly changing needs Qualifications Strong experience with Python Strong experience with databases and caching Experience with AWS cloud infrastructure at scale Experience working with high-scale data and non-deterministic systems like LLMs 4+ years of engineering experience Our cash compensation range for this role is $180,000 - $300,000   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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MetaviewMetaview is re-engineering hiring with AI at the core. Thousands of companies already use Metaview to accelerate their recruiting workflows, remove toil, and make hiring decisions with more precision.Our AI Assistant for Recruiting is used by over 3000 companies around the world, and already makes recruiting flows drastically more efficient. But efficiency is just the starting point: the data we're capturing will enable us to build the AI platform that recognizes talent better than any human ever could.Metaview was founded by Siadhal and Shahriar after their experiences scaling Uber and Palantir. We recently announced our $35m Series B, led by Google Ventures. Growing 5x YoY, our customers are raving fans of the product, and our innovation has been covered in Fortune, Forbes, TechCrunch, and The Times.The teamWe’re here to do the best work of our lives, and are immersed in our work.We optimize for rate-of-learning. Watch the clock, not the calendar.We’re direct and actively-transparent in how we communicate and share progress. This means we all have the context and information required to help each other excel.The roleWe’re at an exciting inflection point: strong customer love, clear product–market fit, and fast growth. As our first Product Marketing hire, you’ll define the function from the ground up — setting the bar, building the muscle, and turning insight into impact.This is not a coordinator role, but a strategic operator seat. You’ll shape how our product is positioned, packaged, and launched — and ensure our story lands with the people who matter most. You’ll work closely with founders, product, sales, marketing, and design to influence not just how we go to market, but what we build next.If you’re looking for a high-trust, high-autonomy role where you can move fast, drive strategy, and help build a category-defining company — we’d love to meet you.What you'll doProduct launchesDevelop positioning, messaging, and GTM strategies for new products, integrations, and features.Plan and execute launch campaigns for both net-new and expansion opportunities.Collaborate with Product and Marketing on pricing experiments and segmentation strategies.GTM enablementBuild compelling case studies that showcase adoption and measurable outcomes.Conduct competitive research and win/loss analysis to inform positioning and GTM strategy.Create high-impact collateral that arms sales and success teams with the right stories and use cases.Activation & lifecycleLead onboarding content and product education that drive activation and time-to-value.Partner with Growth and Product to optimize conversion journeys (especially free → paid).Identify lifecycle opportunities to expand product usage, engagement, and advocacy.What we’re looking for7+ years of work experience, minimum 5 in PMM.Proven track record of high-impact launches and GTM asset creation.Experience supporting both sales-led and PLG motions with a deep grasp of the B2B customer journey.Strong writing and visual sensibility, with a portfolio that reflects strategic thinking and taste.Experience owning customer research and market insight initiatives.High agency, low ego, and bias toward action.What’s in it for youBe the first. Set the bar and define a category of an already customer-obsessed brand.Fast-track your career. We're a Series B rocket ship growing 5x YoY. You'll take on big, meaningful projects and grow faster than anywhere else.Great pay, real ownership. Competitive salary, meaningful equity, and benefits that support the whole you.

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/. About the RoleJoin as an Operations Intern to drive impact in revenue operations, data analytics, and talent acquisition. Work closely with founders in a high-ownership, fast-paced environment, shipping real work and shaping processes. deal for self-starters eager to grow and contribute to a category-defining AI platform.Key ResponsibilitiesRevenue Operations:Coordinate with Sales to close compliance tasks (e.g., Vendor Agreements, Security Questionnaires).Streamline processes to ensure smooth deal closures and compliance adherence.Data Analytics:Build and maintain dashboards/reports in tools like Mixpanel, Stripe and HubSpot.Analyze data to derive insights, requiring strong numerical and data-handling skills.Talent Acquisition:Assist with resume screening and managing candidate pipelines.Support recruiter logistics, including scheduling interviews and other candidate communication.You Might Thrive If YouAre a self-starter, eager to take ownership in a dynamic, fast-moving environment.Have a background or are pursuing a degree in Business Administration, Operations Management, Data Science, Statistics, or a related field, with coursework or experience in data analysis, project management, or HR/recruitment.Prior internships or part-time roles in operations, sales support, or recruitment, ideally in a startup or tech environment.Hands-on experience with data tools (e.g., Excel, Google Sheets, or CRM platforms) or basic scripting (e.g., Python, SQL) for data manipulation.Involvement in extracurriculars or leadership roles demonstrating organization, teamwork, and problem-solving (e.g., student organizations, event planning, or team projects).Exposure to AI or tech-driven industries through coursework, personal projects, or self-study, showing curiosity about emerging technologies.Job DetailsJob Type: Accepting both full-time (40-50 hr/week) & part-time (20-30 hr/week). Onsite with flexible hours.Base Salary: Competitive hourly rateLocation: Redwood City, CA, US.US Visas: Sponsors CPT for enrolled university studentsInterview ProcessIntroductory Call (30 min): Virtual discussion with a department lead to explore your background and alignment with Retell AI’s mission.Virtual/Onsite Interviews (1 hrs): Conducted in Redwood City or virtually, with two rounds:Data Analytics: Demonstrate skills in data analysis.Strategy & Problem-Solving: Tackle a real-world scenario to test your strategizing & reasoning skills.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, driving operational excellence and contributing to a transformative AI platform.

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AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. DeepLearning.AI is looking for a Curriculum Engineer to work alongside our growing team of developers and engineers. In this role, you will apply your programming skills to help Subject Matter Experts (SMEs) create and / or revise AI and ML coding exercises, write and maintain high-quality code, test and debug new code exercises on the Coursera platform, and build and deploy autograder software for coding exercises. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7). Here’s what you’ll do:Help Subject Matter Experts (SMEs) to create and / or  revise coding assignments:  In this role, you will be responsible for creating and / or revising coding exercises in collaboration with SMEs. Although you do not have to be an expert in the subject of every course, you have to be sufficiently technical to develop coding exercises given a set of specifications, or review / revise code that was written by others. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course code exercises. Write and maintain high-quality code: Your software engineering skills are more important for this role than your knowledge of AI, but at least a basic knowledge of AI / machine learning (enough to be a successful learner in the course you’re working on) is a requirement. You’ll be expected to collaborate with SMEs and others to write well documented code that is easily human readable and maintain that code using best practices in GitHub. Python is our preferred language, but a high degree of proficiency in another OOP language similar to Python could serve as a replacement for the Python requirement identified above. Test and debug new code exercises on the Coursera platform and revise / update existing coding exercises: The development of code exercises often happens offline, but you’ll also be responsible for uploading and testing exercises within the Coursera Labs environment. You will also work on maintenance and updates of existing coding exercises.  This includes implementing improvements such as fixing bugs / refactoring individual code exercises, collecting and modifying datasets to ensure the code exercises have the desired pedagogical impact, as well as implementing course-wide revisions to update to the latest version of a framework or package being used in the code exercises.Build and deploy autograder software for coding exercises: All of our coding exercises are set up to be automatically graded by software. Familiarity with writing good software unit tests, working with docker containers and debugging across various platforms is critical for this role. Apart from writing robust code, you will always be working with an eye toward how to “humanize” the autograder systems we deploy, such that learners get meaningful automated feedback when their code needs to be revised. Here are the skills you should have:Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or a Bachelor’s degree and equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline, with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences. Knowledge of software testing best practices and experience with Github, Docker.Excellent communicator with an ability to author and edit high-quality written content in English.Knowledge of instructional design best practices, specifically as it relates to content creation.A team player with willingness to be flexible in timing and tasks to produce the best quality product.  Bonus if you have:Industry experience as a data scientist, machine learning engineer or similar.Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.

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AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. DeepLearning.AI is looking for a Curriculum Engineer to work alongside our growing team of developers and engineers. In this role, you will apply your programming skills to help Subject Matter Experts (SMEs) create and / or revise AI and ML coding exercises, write and maintain high-quality code, test and debug new code exercises on the Coursera platform, and build and deploy autograder software for coding exercises. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7). Here’s what you’ll do:Help Subject Matter Experts (SMEs) to create and / or  revise coding assignments:  In this role, you will be responsible for creating and / or revising coding exercises in collaboration with SMEs. Although you do not have to be an expert in the subject of every course, you have to be sufficiently technical to develop coding exercises given a set of specifications, or review / revise code that was written by others. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course code exercises. Write and maintain high-quality code: Your software engineering skills are more important for this role than your knowledge of AI, but at least a basic knowledge of AI / machine learning (enough to be a successful learner in the course you’re working on) is a requirement. You’ll be expected to collaborate with SMEs and others to write well documented code that is easily human readable and maintain that code using best practices in GitHub. Python is our preferred language, but a high degree of proficiency in another OOP language similar to Python could serve as a replacement for the Python requirement identified above. Test and debug new code exercises on the Coursera platform and revise / update existing coding exercises: The development of code exercises often happens offline, but you’ll also be responsible for uploading and testing exercises within the Coursera Labs environment. You will also work on maintenance and updates of existing coding exercises.  This includes implementing improvements such as fixing bugs / refactoring individual code exercises, collecting and modifying datasets to ensure the code exercises have the desired pedagogical impact, as well as implementing course-wide revisions to update to the latest version of a framework or package being used in the code exercises.Build and deploy autograder software for coding exercises: All of our coding exercises are set up to be automatically graded by software. Familiarity with writing good software unit tests, working with docker containers and debugging across various platforms is critical for this role. Apart from writing robust code, you will always be working with an eye toward how to “humanize” the autograder systems we deploy, such that learners get meaningful automated feedback when their code needs to be revised. Here are the skills you should have:Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or a Bachelor’s degree and equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline, with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences. Knowledge of software testing best practices and experience with Github, Docker.Excellent communicator with an ability to author and edit high-quality written content in English.Knowledge of instructional design best practices, specifically as it relates to content creation.A team player with willingness to be flexible in timing and tasks to produce the best quality product.  Bonus if you have:Industry experience as a data scientist, machine learning engineer or similar.Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.

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AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. DeepLearning.AI is looking for a Curriculum Engineer to work alongside our growing team of developers and engineers. In this role, you will apply your programming skills to help Subject Matter Experts (SMEs) create and / or revise AI and ML coding exercises, write and maintain high-quality code, test and debug new code exercises on the Coursera platform, and build and deploy autograder software for coding exercises. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7). Here’s what you’ll do:Help Subject Matter Experts (SMEs) to create and / or  revise coding assignments:  In this role, you will be responsible for creating and / or revising coding exercises in collaboration with SMEs. Although you do not have to be an expert in the subject of every course, you have to be sufficiently technical to develop coding exercises given a set of specifications, or review / revise code that was written by others. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course code exercises. Write and maintain high-quality code: Your software engineering skills are more important for this role than your knowledge of AI, but at least a basic knowledge of AI / machine learning (enough to be a successful learner in the course you’re working on) is a requirement. You’ll be expected to collaborate with SMEs and others to write well documented code that is easily human readable and maintain that code using best practices in GitHub. Python is our preferred language, but a high degree of proficiency in another OOP language similar to Python could serve as a replacement for the Python requirement identified above. Test and debug new code exercises on the Coursera platform and revise / update existing coding exercises: The development of code exercises often happens offline, but you’ll also be responsible for uploading and testing exercises within the Coursera Labs environment. You will also work on maintenance and updates of existing coding exercises.  This includes implementing improvements such as fixing bugs / refactoring individual code exercises, collecting and modifying datasets to ensure the code exercises have the desired pedagogical impact, as well as implementing course-wide revisions to update to the latest version of a framework or package being used in the code exercises.Build and deploy autograder software for coding exercises: All of our coding exercises are set up to be automatically graded by software. Familiarity with writing good software unit tests, working with docker containers and debugging across various platforms is critical for this role. Apart from writing robust code, you will always be working with an eye toward how to “humanize” the autograder systems we deploy, such that learners get meaningful automated feedback when their code needs to be revised. Here are the skills you should have:Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or a Bachelor’s degree and equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline, with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences. Knowledge of software testing best practices and experience with Github, Docker.Excellent communicator with an ability to author and edit high-quality written content in English.Knowledge of instructional design best practices, specifically as it relates to content creation.A team player with willingness to be flexible in timing and tasks to produce the best quality product.  Bonus if you have:Industry experience as a data scientist, machine learning engineer or similar.Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.

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AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates. DeepLearning.AI is looking for a Curriculum Developer (CD) to work with our internal Curriculum Product Managers (CPMs) and network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help Subject Matter Experts (SMEs) produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7). Responsibilities:Convert the SME’s vision into effective learning content: Our SMEs are experts in their technical domain but are not always teaching or curriculum experts. You will take their ideas and rough materials (hand-sketched slides, bullet-pointed notes, or recorded video lectures) and convert them into learner-facing content (slides, scripts, quizzes, reading items, etc.). Although you do not have to be an expert in the subject of every course, you must be sufficiently technical to understand the material and its intent, and rapidly upskill, before or in the process of creating a new program. Review and provide feedback on technical content: You will be learner zero, and the judge and advocate of how other learners may perceive the material. This requires expertise in instructional design and an ability to empathize with learners. You will need to identify areas of improvement in material produced by SMEs or your peers, suggest solutions, and implement them.  Ensure consistently high content quality and good pedagogy. Effective courses are accurate, cohesive, and engaging. You will be working with peers, with the guidance of the SME and CPM to provide the connective tissue that aligns all the various pieces of feedback and content together. In this generalist role, you could be creating assessments one day, and making video edits to align the scripts and slides the next, all with great attention to detail. Requirements:Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning  such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline , with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences.Experience designing and/or teaching technical courses online or offline. Must have created slide presentations, reading or lecture material, and assessments for post-secondary or adult learners. Excellent communicator with the ability to author and edit high-quality written content in English.A team player with a willingness to be flexible in timing and tasks to produce the best quality product. Preferred:A PhD in Math, Data Science, Computer Science, or a related field. Industry experience as a data scientist, machine learning engineer, or similar.Previous experience developing online asynchronous curricula in the areas of AI, machine learning, data science, robotics, or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.

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This role is remote and can be executed across EMEA. If you prefer, you can work from our offices in Dublin, London or Warsaw. About ElevenLabsElevenLabs 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 Conversational 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.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleBe part of an early CS team with endless opportunities for impact . You’ll partner with the CS team to help develop a scalable CS playbook and framework that supports our customers in EMEA.Build, maintain and own strong relationships with a book of 40-50 enterprise clients.Play a key role in onboarding new clients and driving long term adoption of multiple products.Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion.Own expansion and renewal of accounts within your book of business - this is a commercial role.Own your customer success KPIs (NRR/GRR) and contribute to CS OKR goals.Requirements5-7 years of previous experience in Customer Success in a fast paced, SaaS organisation.Experience demonstrating and unlocking value for customers with technical, mission critical products (such as conversational AI).Commercial experience - you will own renewals and expansion for your book of business, driving towards best in class NRR results.Demonstrates a strong builder mindset with a relentless focus on customer excellence and scalable product solutions.Exceptional communicator with the ability to establish, nurture, and maintain relationships across all levels of customer organizations, including complex stakeholder environments.Strong analytical thinker and creative problem-solving skills to address diverse customer challenges and drive optimal outcomes.Must be fluent in English - additional languages are a plus. #LI-Remote

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Have a passion for AI, creativity, and pushing the boundaries of what’s possible? At Moonvalley, we’re always excited to meet talented people who share our vision. Even if you don’t see the perfect role listed right now, we encourage you to get in touch! We’ll keep your details on file and reach out when a suitable opportunity arises.About MoonvalleyMoonvalley is developing cutting-edge generative AI models designed to power Superbowl-worthy commercials and award-winning cinematic experiences. Our inaugural, cutting-edge HD model, Marey, is built on exclusively licensed and owned data for professional use in Hollywood and enterprise applications.Our team is an unprecedented convergence of talent across industries. Our elite AI scientists from DeepMind, OpenAI, and Meta, have decades of collective experience in machine learning and computational creativity. We have also established the first AI-enabled movie studio in Hollywood, filled with accomplished filmmakers and visionary creative talent. We work with the top producers, actors, and filmmakers in Hollywood as well as creative-driven global brands. So far we've raised over $70M from world-class investors including General Catalyst, Bessemer, Khosla Ventures & YCombinator – and we're just getting started. Who You’ll Work WithOur team brings together AI researchers, engineers, product thinkers, marketers, designers, and strategists. Whether you're building AI models, driving business growth, or shaping our brand, you'll collaborate with smart, ambitious people who value bold ideas and innovation.Our MissionWe’re shaping the future of creativity with AI tools that empower artists, creators, and businesses. From generative AI to digital storytelling, our work pushes boundaries and has a global impact.How We Work Innovation drives everything we do whether in AI, marketing, product, or operations. We encourage ownership, experimentation, and creative problem-solving in a fast-moving, collaborative environment.In our team, we approach our work with the dedication similar to Olympic athletes. Anticipate occasional late nights and weekends dedicated to our mission. We understand this level of commitment may not suit everyone, and we openly communicate this expectation.If you're motivated by deeply technical problems, a seemingly never-ending uphill battle and the opportunity to build (and own) a generational technology company, we can give you what you're looking for.All business roles at Moonvalley are hybrid positions by default, with some fully remote depending on the job scope. We meet a few times every year, usually in London, UK or North America (LA, Toronto) as a company.If you're excited about the opportunity to work on cutting-edge AI technology and help shape the future of media and entertainment, we encourage you to apply. We look forward to hearing from you!The statements contained in this job description reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required and the scope of responsibility. It should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences, to equalize peak work periods, or to otherwise balance organizational workMoonvalley AI is proud to be an equal opportunity employer. We are committed to providing accommodations. If you require accommodation, we will work with you to meet your needs.Please be assured we'll treat any information you share with us with the utmost care, only use your information for recruitment purposes and will never sell it to other companies for marketing purposes. Please review our privacy policy and job applicant privacy policy located here for further information.

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About Oumi​​Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaborators.Community-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwide.Role Overview:We’re looking for our first Product Manager to own the Enterprise Platform roadmap. This is an extremely high impact role. You’ll be in the weeds with users, working side-by-side with engineers, and in front of the whiteboard figuring out strategy – and sometimes all in the same afternoon.You’ll be the connective tissue between our customers, engineering, research, and GTM teams – turning cutting-edge capabilities into products enterprises can’t live without. You’ll thrive if you’re a self-starter and comfortable navigating ambiguity.You will:Drive the enterprise platform roadmap: set strategy, select priorities, define requirements, and deliver features that drive adoption, impact, and revenue.Ensure we stay differentiated and ahead of the curve by integrating features for emerging model capabilities.Go deep with customers: Engage with enterprise users to understand workflows, pain points, and needs and translate them into product features.Partner with engineering: Collaborate closely with our engineering and research team to bring capabilities that move the needle into production.Team up w/ GTM: Support sales cycles, onboard customers, and close the feedback loop.Measure success: Oversee product launches, measure outcomes, and refine the product strategy based on user data, feedback, and evolving market trends, ensuring enterprise readiness.Be a problem solver: Operate at a level 4-5 on this hierarchy.What you’ll bring:Experience: 5+ years of PM experience, including time spent on ML/AI platforms and/or developer tools.Technical literacy: Comfortable developing features that touch model eval, finetuning, platform architecture with engineering teams.Experience building enterprise-grade products with complex integrations, security requirements, and multiple user personas.Exceptional execution skills: You can manage ambiguity, move fast, and deliver high quality outputs.Quick learner: Ability to quickly get smart on unfamiliar technical and business domains.Collaboration Skills: Excellent communication and the ability to work effectively with designers, backend engineers, and domain experts.Values alignment: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.Bonus points:Experience:Working at an early-stage startupProductizing open-source projects for enterpriseBuilding AI evaluation/training platformsBenefits:Competitive salary: $150,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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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.Summary:Hayden AI is looking for a Staff Technical Program Manager to lead planning and releases of complex programs end-to-end. You will work across engineering, product management, business, and operations to drive strategy into roadmaps and plans that deliver critical work on time and at high quality. In this role you will lead a multi-disciplinary effort across hardware, device software, cloud, and perception through all stages of the product lifecycle.Responsibilities: Orchestrate end-to-end delivery of business critical, cross-functional engineering programs.Manage releases across all Engineering domains including AI, firmware, cloud, and hardware. Establish scalable systems and processes to manage the full product lifecycle—from concept through development, deployment, production, and ongoing iteration.Design and implement scalable planning processes to support the rapid growth and increasing complexity of the engineering organization.Align program execution with business priorities by driving accountability across engineering and non-engineering teams.Drive cross-functional planning across engineering and business teams, ensuring alignment of product roadmaps, technical execution, and company strategy.Improve forecasting accuracy, execution predictability, and organizational transparency through effective reporting and operational rigor. Required Qualifications:B.S. in an engineering discipline.10+ years experience in Technical Program Management or Engineering Program Management.Experience leading the development and launch of at least 3 new products into production. Strong technical background in hardware, device software, cloud development, and computer vision, with a solid understanding of engineering principles, processes, and best practices.Experience working closely with multidisciplinary technical teams to drive fast paced delivery of critical products and functionality.Deep knowledge of tools and techniques for managing complex product development through its entire lifecycle. Experience delivering innovative technologies to government agencies is a plus.

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The rise of generative AI is fundamentally changing how people search for information and discover brands online. Conductor is the only end-to-end, AI-first platform that enables enterprises to create high-performing, valuable content at scale and ensure their brand is found everywhere customers are looking—from Google to generative AI engines like ChatGPT. Recognized by Forrester as a Leader and #1 rated by customers on G2 and TrustRadius, we are committed to building a workplace where our people can grow and make a positive impact. Conductor is a mission-driven company with a commitment to innovation, customer success, and culture. For Conductor, success is improving the lives of everyone in our orbit—our customers, our customers' customers, our employee-owners, and our communities. About the Role We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. Reporting to the Engineering Director, the successful candidate will take on a pivotal role in designing, developing, and implementing innovative solutions to our customers' problems, while adhering to the standards and principles of our R&D department. The Senior ML Engineer will work closely with data engineers, product managers, application developers, UI/UX designers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications. The ideal candidate is passionate about solving problems, influencing strategic thinking, and mentoring others within the team. Reporting to the Engineering Director, this engineer’s key responsibilities are:  Design and implement end-to-end AI systems and ML pipelines, creating a scalable framework that powers iterative R&D workflows. Orchestrate multi-model decision workflows and implement efficient agent handoff systems that optimize for both performance and user experience. Design human-in-the-loop interactions allowing AI agents to collaborate effectively with content marketers, incorporate feedback, and refine workflows autonomously. Optimize AI models for efficiency, interpretability, and real-world performance in enterprise environments. Define AI evaluation frameworks and metrics to ensure continuous improvement of models and systems. Collaborate with cross-functional teams to unlock insights, innovation, and intelligence in our applications. Stay current with state-of-the-art techniques in AI/ML and apply this knowledge to our architectures. Mentor other engineers and foster a culture of knowledge sharing and collaboration. Understand challenges in the SEO space and solve problems, not just deliver features. Who you are: 3+ years of experience in software development, with at least 3 years in building scalable and secure SaaS application platforms and systems for intelligent applications. Deep knowledge of modern  technologies including: LLM architectures (GPT-4, Claude, Gemini) Retrieval-augmented generation (RAG) and vector database (Milvus) optimizations Multi-agent AI architectures and agentic frameworks Experience with model evaluation, including designing self-assessment prompts and implementing performance dashboards using relevant metrics (confidence and perplexity scores, win-rate comparisons between model versions, etc.). Proficiency with traditional ML technologies (PyTorch, TensorFlow, AWS SageMaker, MLflow) and strong Python coding skills. Experience with cloud technologies, particularly in data processing and distributed systems. Knowledge of AWS technologies is a plus. Excellent communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders. Solution-oriented approach using rapid prototyping, experimentation, and iterative development. Self-directed, proactive, and comfortable working across organizational stacks, taking ownership of end-to-end problem-solving in a fast-paced environment. ------------------------------------------------------------------------------------------------------------------------------- Compensation: Conductor maintains competitive, performance-based compensation programs.  The NYC base salary range for this role is currently $110,000 - 130,000 per year. Placement within that range will be dependent on experience. Benefits: Conductor offers the following attractive benefits and perks including: 100% covered employee medical plan, a dental & vision plans, 401(k) with employer contribution, an unlimited vacation policy, 10 sick days, short-term disability, long-term disability, generous paid parental leave, employee assistance program, flexible savings accounts, paid holidays, life and accidental death insurance, and a host of perks. Conductor LLC is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Bringing in diverse perspectives and challenging our assumptions is the clear key to growth; it drives innovation, creativity, faster problem-solving, and stronger decision making. All aspects of employment including the decision to hire, promote, train, discipline, or discharge, will be based on merit, competence, performance, and business needs.  Conductor does not discriminate against any employee or applicant on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, or other characteristics protected by state or federal law or local ordinance.  In addition, it is the policy of Conductor to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.  

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role:As a Site Reliability Engineer, you will play a crucial role in ensuring the smooth operation of all user-facing services and other Anyscale production systems. Anyscale values diversity and inclusion, and we encourage applications from individuals of all backgrounds.This includes processes for provisioning, negotiating prices, managing costs, seeing opportunities for teams to reduce wastage by finding applications across the company. You will apply sound engineering principles, operational discipline, and mature automation to our environments and the Anyscale codebase as we scale.As part of this role, you will:Develop a unified perspective on how cloud components are utilized across the company, taking into account diverse needs and requirements.Ensure that deployment methodologies align with the company's reliability goals.Build systems that promote understanding of production environments, facilitating quick identification of issues through robust observability infrastructure for metrics, logging, and tracing.Create monitoring and alerting systems at different levels, enabling teams to easily contribute and enhance the overall monitoring capabilities.Establish testing infrastructure to support the team in writing and executing tests effectively.Develop tools for measuring service level objectives (SLOs) and define organization-wide SLOs.Implement best practices and on-call systems, ensuring efficient incident management and up-leveling the incident management system at Anyscale.Coordinate the creation and deployment of cloud-based services, including tracking deployments and establishing effective communication channels for issue resolution.We'd love to hear from you if have:At least 3 years of relevant work experience in a similar role.CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the target salary for this role may be adjusted.This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:Stock OptionsHealthcare plans, with premiums covered by Anyscale at 99%401k Retirement PlanWellness stipendEducation stipendPaid Parental LeaveFlexible Time OffCommute reimbursement100% of in office meals coveredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Deployment Project Manager with a knack for wrangling complex projects and a passion for customer satisfaction. In this role, you will be the keystone for deploying our cutting-edge technology to clients. As a Technical Project Manager, you'll be responsible for end-to-end project oversight, from creating detailed implementation plans to managing budgets and schedules. You'll work closely with internal teams and external partners to ensure our projects are delivered on time, within scope, and to the highest quality. This position requires someone who can seamlessly manage shifting priorities, anticipate potential issues, and navigate complex dependencies to ensure every deployment is a success.   Responsibilities  Develop and maintain comprehensive project documentation, including implementation plans, design documents, budgets, and status reports. Oversee and manage the change control process to ensure all project scopes remain aligned with business and client goals. Build and nurture strong, long-term relationships with clients, acting as the primary point of contact for all project-related needs. Proactively identify potential project issues and risks, then develop and execute strategic contingency plans to keep things on track. Manage the planning, scheduling, and tracking of inventory delivery to ensure all necessary components arrive at customer sites on time. Coordinate on-site third-party resources and installers, ensuring they have the tools and information they need to succeed. Conduct regular status calls and provide clear, concise project updates to all internal and external stakeholders.   Qualifications  PMP or other relevant project management certifications/experience. Demonstrated ability to thrive in a fast-paced environment and independently manage multiple priorities and deadlines. Strong knowledge of low-voltage, electrical, and civil infrastructure projects, particularly as they relate to managing third-party suppliers and installers. Exceptional analytical and problem-solving skills, with a proven ability to adapt to shifting project demands and timelines. Excellent communication skills—both written and verbal—with a talent for presenting complex information clearly to a variety of audiences. A true team player with a strong sense of ownership and the ability to collaborate effectively to solve problems. Strong leadership, critical thinking, decision-making, and process management skills.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $100,000.00 to $120,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role We are seeking a Deployment Project Manager with a knack for wrangling complex projects and a passion for customer satisfaction. In this role, you will be the keystone for deploying our cutting-edge technology to clients. As a Technical Project Manager, you'll be responsible for end-to-end project oversight, from creating detailed implementation plans to managing budgets and schedules. You'll work closely with internal teams and external partners to ensure our projects are delivered on time, within scope, and to the highest quality. This position requires someone who can seamlessly manage shifting priorities, anticipate potential issues, and navigate complex dependencies to ensure every deployment is a success.   Responsibilities  Develop and maintain comprehensive project documentation, including implementation plans, design documents, budgets, and status reports. Oversee and manage the change control process to ensure all project scopes remain aligned with business and client goals. Build and nurture strong, long-term relationships with clients, acting as the primary point of contact for all project-related needs. Proactively identify potential project issues and risks, then develop and execute strategic contingency plans to keep things on track. Manage the planning, scheduling, and tracking of inventory delivery to ensure all necessary components arrive at customer sites on time. Coordinate on-site third-party resources and installers, ensuring they have the tools and information they need to succeed. Conduct regular status calls and provide clear, concise project updates to all internal and external stakeholders.   Qualifications  PMP or other relevant project management certifications/experience. Demonstrated ability to thrive in a fast-paced environment and independently manage multiple priorities and deadlines. Strong knowledge of low-voltage, electrical, and civil infrastructure projects, particularly as they relate to managing third-party suppliers and installers. Exceptional analytical and problem-solving skills, with a proven ability to adapt to shifting project demands and timelines. Excellent communication skills—both written and verbal—with a talent for presenting complex information clearly to a variety of audiences. A true team player with a strong sense of ownership and the ability to collaborate effectively to solve problems. Strong leadership, critical thinking, decision-making, and process management skills.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $110,000.00 to $130,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.What you'll be doing:As a Senior Data Scientist in our Consumer and Services business unit you will lead project teams that deliver bespoke algorithms to our clients. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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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!The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs.In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels.Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00.As a Member of Technical Staff, you will:Design and write high-performing and scalable software for training models.Develop new tools to support and accelerate research and LLM training.Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem.Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime.Research, implement, and experiment with ideas on our cluster and data infrastructure.Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams!You are an ideal candidate if you have:Extremely strong software engineering skills.Value test-driven development methods, clean code, and strive to reduce technical debts at all levels.Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR.Experience using and debugging large-scale distributed training strategies (memory/speed profiling).[Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray).[Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance.[Bonus] Experience in ML, LLM and RL academic research.This role is perfect for you if you:Have a deep passion for quality work.Enjoy tuning and optimising large LLM models.Comfortable working with people with different levels of software engineering skills, from beginner to more advanced.Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems.Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions.If 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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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first deployed engineer hire - you will work closest with our customers, help them get the most out of our API, and scale with them. You will understand their product and use-cases deeply, and understand our API. You will be the power user of our API.You: Love working hands-on with customers. You are an engineer by training but also may have worked in consulting/PM/GTM or roles that are close to customers. You care most about owning customer impact. Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an experienced Platform Engineer who thrives in 0-to-1 environments to join Oumi's engineering team. You'll architect, build, and maintain the core platform services that power our products, working across the full technology stack with a focus on backend systems and infrastructure.What you’ll do:Platform Architecture: Design and implement scalable, maintainable platform architecture from the ground up, making strategic technical decisions that will shape our technology foundationBackend Development: Build robust, high-performance backend services and APIs using Python, with optional Rust for performance-critical componentsFrontend Integration: Collaborate on JavaScript/TypeScript frontend components that integrate with your backend servicesInfrastructure as Code: Implement infrastructure automation using modern DevOps practices and toolsTechnical Leadership: Provide technical guidance on best practices, architecture decisions, and coding standards0-to-1 Development: Convert product requirements into fully functioning systems, taking ownership of features from concept to productionWhat you’ll bring:Experience: Proven experience in software development, with a strong understanding of programming languages such as Python, Rust or Javascript.0-to-1 Track Record: Demonstrated success building systems from scratch in fast-paced environmentsTechnical Expertise:Strong proficiency in Python for backend developmentKnowledge of Rust or willingness to learn for performance-critical componentsFamiliarity with cloud platforms (AWS/GCP/Azure)Experience with containerization (Docker) and orchestration (Kubernetes)System Design: Ability to design clean APIs, scalable architectures, and efficient data modelsDevOps Mindset: Experience with CI/CD pipelines, monitoring, and observability toolsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.Location:Greece