Top AI Machine Learning Engineer Jobs Openings in 2025

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe're not just shipping AI products—we're building ones that learn and improve autonomously. We’re looking for a Growth ML & Experimentation Engineer to build Ava’s adaptive growth brain: systems that run millions of microtests and optimize outbound performance across companies, personas, and industries.Think of this role as creating the “growth hacker” mind inside our AI BDR—combining A/B testing, reinforcement learning, and control systems at scale.You’ll be building an AI that adapts itself to every persona, every market, and every trend—without needing to be told. This isn’t growth hacking for a website. It’s evolution for an AI employee.What You'll DoDesign and implement automated experimentation systems (A/Z testing, multivariate optimization, Bayesian exploration, etc).Build dynamic systems that continuously learn from open/response rates, meetings booked, and downstream metrics. Create reinforcement loops and scoring models to help Ava adjust tone, targeting, and strategies in real-time. Work closely with product to embed experimentation directly into the AI-user experience. Develop tools to visualize and interpret campaign intelligence for internal teams and end users.What You Bring3–6+ years of experience in applied ML, ideally focused on growth, optimization, or adaptive systems.Experience with online experimentation frameworks (A/B testing infra, bandits, causal inference, etc). Strong Python and data engineering skills; comfortable working across pipelines, APIs, and backend systems. Experience working with outbound or marketing funnel data is a major plus. Passion for building intelligent systems that get better every day, without human micromanagement.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc).Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability.Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users.Own model evaluation pipelines and instrumentation for user feedback and continuous improvement.Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks).Deep understanding of reasoning, prompt orchestration, and memory mechanisms.Strong software engineering skills—able to write clean, maintainable Python and backend code.Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc). Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability. Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users. Own model evaluation pipelines and instrumentation for user feedback and continuous improvement. Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks). Deep understanding of reasoning, prompt orchestration, and memory mechanisms. Strong software engineering skills—able to write clean, maintainable Python and backend code. Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleWe’re building the next generation of autonomous software employees—agents who don’t just assist but own workflows end to end. As our Head of AI, you’ll lead the charge in architecting, scaling, and evolving the core AI systems powering Ava and future Artisans.This is a high-impact leadership role where you’ll combine hands-on engineering, strategic technical vision, and team building to push the limits of what agentic AI can do.You won’t just manage an AI roadmap—you’ll help invent the future of work. From shipping fully autonomous agents to building adaptive learning loops across users and industries, this role is central to making Ava smarter, faster, and more valuable every single day.What You'll DoDefine and lead the technical roadmap for all AI initiatives—LLM pipelines, reasoning systems, agent architecture, and adaptive feedback loops. Build and scale a world-class team of ML, applied AI, and agentic system engineers. Architect and oversee the development of end-to-end agentic workflows—from prompt design to tool orchestration to behavior modeling. Collaborate closely with product, engineering, and design to embed intelligent behaviors throughout our user experience. Stay on the edge of LLM, RLHF, RAG, and agentic research—and drive rapid implementation of relevant innovations. Establish safety, performance, and observability standards for all AI systems in production.What You Bring6+ years of experience in ML/AI, with 2+ years in technical leadership roles (staff engineer, team lead, or higher). Deep experience working with LLMs in production (e.g., fine-tuning, prompt chaining, agent design, vector databases). Strong backend engineering skills in Python and fluency in modern MLOps and orchestration tools (MLflow, LangChain, LangGraph, etc). Proven success building and scaling real-world AI applications and systems with measurable impact. Strategic thinker with strong execution skills—comfortable making architectural decisions while staying close to the code when needed. Excellent communicator and cross-functional collaborator; comfortable aligning stakeholders and mentoring technical talent.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.   What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).   What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 5+ years of industry experience in ad tech, with a focus on performance optimization. Proven experience in applied machine learning, especially in CTR prediction, recommendation systems. Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering. Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).   #LI-AK1

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Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building from first principles.As an AI/ML Engineer, you’ll be part of the team that makes this real. You’ll work on both sides of the problem: how models are trained and how they run in the world. You’ll design and build the systems that power large-scale training runs and efficient inference. You’ll work closely with our AI Researchers to implement the latest algorithms and ideas.This is a deep engineering role. You’ll be writing a lot of code, instrumenting systems, optimizing performance, and debugging weird, messy edge cases in distributed training and model serving. If you love figuring out how foundation models really work under the hood, this is your team.What you’ll doBuild and scale training pipelines for sovereign foundation models like large language models and other architecturesDesign efficient inference systems that run these models in real-world environmentsOptimize data pipelines, tokenization, batch prep, and distributed training at multi-node scaleBuild deep observability into training and inference, improving performance, correctness, and efficiencyDebug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limitsWork closely with AI Researchers to translate cutting-edge algorithms into working systemsEstablish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deploymentWho you arePassionate about how models are built, trained, and run, especially large-scale foundation modelsDriven by curiosity about model internals, training dynamics, and system-level performanceExcited to work across both training and inference, not just one side of the ML stackSkilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not requiredConstantly learning, whether it’s reading open-source repos, replicating research ideas, or designing your own tools to explore a problemHands-on and determined. You like writing code, running experiments, and figuring things outMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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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 experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring. Responsibilities Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\ Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users Qualifications Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack Experience in training DNN and Transformer architecture models Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas Understands how to make tradeoffs in using different models Self-motivated with a willingness to take ownership of tasks A passion for shipping quality products 4+ years of industry experience The cash compensation range for this role is $200,000 - $280,000. 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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About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.About the RoleAs a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.This position is located in San Francisco. Relocation assistance is available.In this role, you will:Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale.Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees.Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams.Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions.Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring.Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling.You might thrive in this role if you:Have hands-on research or production experience with PETs.Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code.Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity.Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems.Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines.Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability.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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Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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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 exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. Responsibilities Research Leadership & Strategy Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives Lead strategic research planning and roadmap development to advance Sonar model capabilities Drive innovation in supervised and reinforcement learning techniques for query answering Collaborate with leadership to align research priorities with product and business objectives Team Development & Mentorship Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth Establish the long-term macro research direction across the team, including our direction across different modalities Lead hiring and onboarding of new research talent Create a collaborative environment that encourages knowledge sharing and innovation Technical Excellence Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training Deliver Sonar models that provide SOTA query answering performance Drive research into agent trajectories and multi-modal capabilities Lead the technical roadmap for eventual mid-training investments Cross-Functional Collaboration Work closely with engineering teams to integrate Sonar models into our product Partner with product teams to understand user needs and translate them into research priorities Collaborate with data teams to leverage our unique query/answer dataset effectively Communicate research progress and findings to stakeholders across the organization Qualifications Required Minimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role** Proven track record of leading and mentoring technical and research teams A Computer Science graduate degree at a premier academic intitution Deep expertise with large-scale LLMs and Deep Learning systems Strong programming skills with versatility across multiple languages and frameworks Demonstrated ability to set technical vision and drive execution Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) Self-starter with exceptional ownership mentality and ability to work in ambiguous environments Passion for solving challenging problems and pushing the boundaries of AI research Nice-to-have PhD in Machine Learning, Computer Science, or related areas Experience with agent-based AI systems and multi-modal model development Background in mid-training or pre-training of large language models Publications in top-tier AI/ML conferences Experience in fast-paced startup environments Track record of translating research into production systems Compensation & Benefits Our cash compensation range for this role is $370,000 - $460,000. 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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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:Open Source First: All our platform and core technology is open sourceResearch-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 OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.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.BenefitsCompetitive salary: €30,000 - €60,000Equity in a high-growth startupRegular team offsites and events

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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:Open Source First: All our platform and core technology is open sourceResearch-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 OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.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.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!The expected salary range for this position is:Annual Salary:$340,000—$425,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.We are inventing the next generation of document intelligence and conversation automation. Our platform pairs cutting‑edge large‑language‑model research with a deep understanding of medical, legal, and insurance workflows to unlock tasks that—until now—had almost zero automation. Think: auto‑triaging thousands of pages of medical records for a personal‑injury case in seconds, at scale. Because the generative‑AI frontier moves daily, we operate like an applied‑research lab: rapid pilots, direct user feedback, and a short path from idea to production. You’ll join a small team of distinguished engineers, AI researchers, and legal experts. Your mandate: push the state of the art and ship. Expect to prototype novel methods on Monday, validate with real case data by Friday, and see your code in the product a month later. What You’ll DoResearch & Prototype Design and evaluate new approaches in retrieval‑augmented generation, tool‑use agents, multimodal LLMs, or self‑supervised document representation—whichever unlocks the next pain‑point for our users.Domain Adaptation Fine‑tune and align models to the quirks of long, jargon‑dense medical/legal corpora (ICD codes, CPTs, deposition transcripts, insurance clauses).Agentic Systems Build and benchmark autonomous chains that decide when to call OCR, which precedents to cite, or how to interview a claimant—all with safety and auditability baked in.Measurement & Safety Create eval suites for factuality, legal soundness, and bias. Propose mitigations where gaps appear.Publish & Share If your work advances the field, we’ll support conference submissions—credit where credit is due.Minimum QualificationsPursuing a Ph.D. in CS, ECE, Statistics, or related field with a research focus in ML / NLP / Generative AI.Strong grasp of modern LLM architectures (transformers, attention variants), training/fine‑tuning pipelines (LoRA, PEFT, RL‑HF), and evaluation methods.Fluency in Python.Demonstrated ability to turn research ideas into working prototypes (open‑source projects, or industry experience).Intellectual curiosity, rapid learning loop, and the grit to thrive in an ambiguous, 0‑to‑1 environment.Nice‑to‑HavesExperience with agent frameworks (e.g., LangGraph, AutoGen) or building tool‑using LLM agents from scratch.Hands‑on with long‑context or multimodal models.Familiarity with vector databases, RAG orchestration, or document triage pipelines (OCR, layout parsing).What You’ll GainImpact on Day 1 – Your code runs on live cases, not in a sandbox.Mentorship – Weekly 1‑on‑1s with our Head of AI and access to attorneys for domain deep‑dives.Publication Support – Travel stipend and legal review for papers or posters.Conversion Path – High‑performing interns are first‑in‑line for full‑time research scientist or ML engineer offers.This is a paid internship and compensation is determined by a number of factors from location, research and impact. Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address.To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.If you receive communication from someone you believe is impersonating EvenUp, please report it to us at talent-ops-team@evenuplaw.com. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.Benefits & Perks:As part of our total rewards package, we offer attractive benefits and perks to our employees, including:Choice of medical, dental, and vision insurance plans for you and your familyAdditional insurance coverage options for life, accident, or critical illnessFlexible paid time off, sick leave, short-term and long-term disability10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employees and RRSP for Canada-based employeesPaid parental leaveA local in-person meet-up programHubs in San Francisco and TorontoPlease note the above benefits & perks are for full-time employeesEvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our East Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.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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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our West Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.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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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!📝 Your ResponsibilityCollaborate with our team to build and optimize a language model pipeline for video understanding using prompt engineering, fine-tuning, and other creative techniquesDesign and deliver state-of-the-art NLP/CV models or features to improve product performance in understanding videosConduct research and demos with cutting-edge LLMs exploration and applications📝 QualificationsBachelor's degree or above in computer science or related fieldsLess than 2 years of work experience or fresh graduates are also welcomeFluent in verbal, written, and technical EnglishSolid programming skills in Python, C++, or JavaScriptProficient in PyTorch or TensorFlowExperienced in areas in one of the below:Video understanding.LLM fine-tuning/multimodal systems.Prompt Engineering & RAGEnthusiastic, excellent communicator, self-motivated, and possessing a sense of ownership.📝 Preferred ExperienceExperience in building products from the ground upStrong coding skillsPassionate about the future with GPT-x, experience in building APIs/services/open-source with ChatGPT is highly preferredProjects completed or Research papers published in one of the following areas:Video understandingLLMs finetuning/multi-modalsPrompt EngineeringPublications or papers submitted in top-tier conferences, such as ACL, EMNLP, CVPR, ICCV, ICLR, NeurIPS, KDD, AAAI, etc.📝 Location (On-site):Palo Alto, CA; San Francisco, CAEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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About the RoleOpenAI is expanding real‑time, multimodal interaction across ChatGPT and developer APIs, including voice experiences. We’re seeking a hands‑on, product‑minded engineer who can transform breakthrough speech, audio, and generative models into polished, scalable user experiences. If you’re passionate about building expressive, reliable, and safe AI voices that people love, this role is for you.What you’ll doDevelop & optimize speech and audio ML models (TTS, voice conversion, expressive prosody, low‑latency streaming) for production.Design scalable data pipelines for voice collection, labeling, quality metrics, and human preference testing.Create and operationalize voice persona frameworks that connect linguistic, acoustic, and stylistic features to model training.Prototype generative audio capabilities (music, FX, ambient) that enhance conversational and accessibility experiences.Integrate voice models into ChatGPT voice, developer APIs, and accessibility features in collaboration with product, design, safety, and platform teams.Instrument telemetry & performance monitoring to drive continuous quality, robustness, and bias/fairness improvements across languages and dialects.Establish responsible data practices (consent, licensing, voice likeness safeguards) in partnership with Legal, Policy, and Safety. What we’re looking forProven experience building and shipping production voice or speech ML systems (TTS, voice cloning, or generative audio).Deep understanding of speech synthesis pipelines: text normalization, linguistic/phonetic features, acoustics, vocoding, and prosody modeling.Strong ML engineering expertise in Python and a major deep learning framework (PyTorch strongly preferred).Familiarity with audio tooling, data augmentation for speech, and metrics (MOS, intelligibility, latency, naturalness, persona fidelity).Collaborative, cross-functional approach with clear, user-oriented communication. Nice to have:Experience with voice casting workflows or script/prompt design for large-scale data programs.Background in creative audio generation (music, sound design) and multimodal ML.Track record of 0‑1 product incubation or team leadership.Patents, publications, or open-source contributions in speech, audio, or generative modeling.Multilingual voice development.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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About the RoleOpenAI seeks a Machine Learning Engineer to build multimodal ML systems that deliver secure, low‑friction user authentication and intelligent device perception. You will work at the intersection of modeling and systems engineering, architecting data pipelines and defining durable feature interfaces for video, audio, and future signals. You will build perception and decision pipelines and harden everything for deployment in real‑world environments.Key ResponsibilitiesDevelop multimodal authentication and identity‑confidence models across video and audio, with room to incorporate additional signals as they become available. Drive robustness across diverse conditions.Architect data systems and scalable data‑augmentation and simulation pipelines that expand edge‑case coverage and increase model value.Build and tune production inference and decision stacks, and use telemetry to improve reliability in the field.Develop failure‑analysis systems that detect drift, false accepts and false rejects, and calibration issues, enabling rapid iteration loops.Partner closely with hardware, firmware, and research teams to integrate sensors, shape model design, and take systems to production.Ideal CandidateHas shipped ML systems in production where reliability mattered (e.g., safety, access control, payments).Brings experience with authentication, biometrics, or access‑control machine learning.Strong background in computer vision, audio ML, and multimodal fusion.Proficient in C++ and Python with deep PyTorch experience, strong systems debugging skills, and a security‑aware mindset.BonusBuilt scalable failure‑analysis and model‑transparency tooling (evaluation harnesses, telemetry analytics, interpretability workflows).Background optimizing ML for real‑time or low‑latency environments.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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About the RoleWe’re seeking a Computational Sensing & Simulation Engineer to develop advanced simulation infrastructure and enhance multimodal data modeling techniques that support next-generation AI systems. This role sits at the intersection of high-performance computing, sensor modeling, and AI research. You’ll work closely with research and engineering teams to prototype algorithms, solve complex data fusion challenges, and shape how simulated and real-world data are combined to improve AI performance.Key ResponsibilitiesDevelop and maintain high-performance, physics-based simulation frameworks for diverse sensing modalities (e.g., vision, depth, radar).Apply computational optimization methods to refine sensing system models and improve AI-driven data interpretation.Collaborate with research teams to prototype, test, and iterate algorithms for sensor data processing and validation.Explore and evaluate new approaches for sensor fusion and multimodal data representation in simulation environments.Ideal CandidateStrong expertise in high-performance computing and experience with C/C++, Python (PyTorch), CUDA, GPU programming, and parallel computing techniques.Solid foundational knowledge in physics domains such as optics, electromagnetics, or solid-state physics.Experience modeling or simulating complex sensing systems (e.g., imaging, depth, radar).Proven ability to work across software, research, and product teams to drive technical solutions.Bonus QualificationsExperience with large-scale transformer-based or generative AI models.Background in metrology or validation of high-precision sensing or simulation systems.Familiarity with analyzing large datasets for AI applications and working with cloud-based simulation infrastructure.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.