Machine learning jobs in Oakland, California - Page 11Crear alertas

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. For technical support or questions about Capital One's recruiting proc

A leading talent agency is seeking an Applied AI / ML Engineer in San Francisco.The ideal candidate will have 5+ years of experience in machine learning systems, focusing on document understanding.This role involves building the ML infrastructure for tax document processing and collaborating closely

We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-m

A leading software monitoring company is seeking a Staff Machine Learning Engineer to develop AI systems that enhance product capabilities.You will work on innovative projects in a collaborative environment, leveraging a vast dataset for actionable insights.Ideal candidates should have strong coding

As the VP, Translational Computational Biology, you will report to the SVP Clinical Development & Data Science, joining a diverse leadership team spanning research, development, data science, machine learning, computational chemistry, and computational biology across Recursion. You will collaborate

Candidates should have strong experience in machine learning, computational biology, and the ability to translate complex scientific questions into structured workflows. A biotechnology firm in San Francisco is seeking an ML Engineer to build the core analytical layer for its AI Co‑Scientist. The

Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s

A leading technology company in San Francisco is seeking an AI/ML - Machine Learning Research Engineer to contribute to advanced machine translation technologies.The ideal candidate has extensive experience in machine learning and natural language processing, particularly with large language models.

Partner with ML infrastructure to scale safety features across Airbnb products. Airbnb is committed to working with the broadest talent pool possible. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcom

A leading tech company is seeking an experienced professional to enhance its machine learning capabilities.This role involves collaborating with teams across tech, product, and design to deploy AI features that improve Guest and Host experiences.Candidates should have extensive experience in machine

Job DescriptionWho We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton's mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here. Role: Staff Software Engineer - Infrastructure Team: Machine Learning Pod Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description As a Staff Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. You'll build scalable ML infrastructure from the ground up - supporting model deployment, distributed training, real-time inference, and more. You'll be a key partner to the Data Science team, helping bring value to production quickly and reliably. This role requires a blend of advanced Python programming skills within production environments and expertise in distributed computing. Responsibilities • Own Core ML Infrastructure:, • Build and scale distributed systems for ML training, serving, and inference., • Design and implement real-time ML workflows that power core product features., • Implementation of Distributed Systems:, • Build robust distributed systems tailored for efficient ML training and seamless operational deployment., • Feature Engineering Enhancement:, • Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency., • Real-Time ML Workflow Enhancement:, • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes., • Platform Level Ownership:, • Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking., • Architect and manage scalable feature stores for online and offline usage., • AI-Driven Optimization:, • Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling., • Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization., • Production Ready Engineering:, • Write production-grade Python that operates at scale, with reliability and performance top of mind., • Collaborate across engineering and data science to turn models into resilient software systems.Required Qualifications, • Production Python & Distributed Systems Expertise, • Advanced proficiency in Python at a Staff Level, • Must be within a production environment where the code directly impacts operations., • Experience in distributed computing, scalable ML infrastructure, & high-performance engineering., • Machine Learning (MLOps), • Scales ML infra for multiple teams and use cases., • Experience implementing and serving ML algorithms., • Ensures reproducibility, lineage, and experiment rigor., • Owns end-to-end ML systems: training, deployment, features, monitoring, rollback., • Hands-on experience with data engineering, distributed training, model monitoring, and experiment tracking., • Breadth of knowledge and applied experience across multiple ML applications, with proven ability to leverage a wide range of tools, frameworks, and systems., • Technical Leadership & Cross-Functional Influence, • Leads design and delivery of large-scale ML or distributed systems., • Defines reusable patterns, standards, and architectures., • Drives decisions that improve reliability, latency, and developer velocity., • Sets technical direction and elevates ML engineering standards., • Communicates vision and trade-offs across disciplines., • Can Mentor other ML engineers on the team. Preferred Qualifications • 5 to 8 years of backend or ML infrastructure experience., • Proven track record building production ML workflows at scale., • Experience in industry logistics, transportation, or freight is a bonus. The Perks • Competitive Base Salary, • Long Term Cash Incentive Plans, • Annual Company Bonus, • 401k with Matching, • Hybrid Work Schedule, • Comprehensive Health Coverage, • Hyper-Stable, publicly traded Enterprise, • Employee Stock Purchase Program (15% discount to market value) Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join • Have an immediate impact:, • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one., • Opportunity to grow and lead in a Fortune 500 company:, • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team., • Creative, fast-paced environment to solve impactful problems in Supply Chain:, • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.

Job Description The Unity Engineer Role: We are looking for an experienced game engineer with strong C# and Unity skills. You will be working closely with a small, multidisciplinary team to build out our upcoming anime mobile tactics game. Our game programmers are mostly generalists, so you can work on lots of different areas of the game. It’s important that you take pride in your work and know what it means to take responsibility and deliver quality and fun to players. You are comfortable taking a feature from a vague idea on a post-it to a fully working and polished implementation. You may be a good fit if: You love Strategy RPGs Our team draws tons of inspiration from titles like Fire Emblem, Final Fantasy Tactics, and X-Com. Our next title aims to bring the best of this genre onto the mobile screen. And you also love the anime aesthetic We're also huge anime fans if you haven't noticed. You deeply understand Unity We're looking for someone with 5+ years of programming experience and a high level of familiarity with Unity. A good candidate must have shipped at least one game with Unity (personal projects are great!) and have built up a sixth sense for what is the "happy path" in modern Unity development. You're comfortable working on small, fast-paced teams Working here will feel very much like a small indie studio: close-knit, with high ownership and flexibility. You're excited about the potential of Generative AI You'll also be working closely along some of the best AI researchers in the world. Part of working with our team may involve looking at our latest research results, and figuring out how to best apply it into the game. You will be at the literal cutting edge of what is possible with machine learning, art, and games.

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. We’ve brought together a team of the best, who believe hard things are worth doing. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, do the real work, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a machine learning engineer at Nudge, you will: * Design imaging algorithms that use in-house ultrasound transducers and high-performance compute to image the brain and skull * Build high-resolution acoustic simulations to model the scattering of sound energy in the skull and precisely predict the dose delivered * Develop computer vision systems to track the motion of a brain target in real time and dynamically adapt drive parameters to maintain consistent targeting * Work closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists About you We are looking for engineers of all levels, with a preference for at least 3 years of industry experience. Regardless of your career level, you should have: * Strong first-principles understanding of engineering, physics, and signal processing. * Experience writing production-level code (Python preferred) * Degree in Computer Science or similar engineering discipline * You do not need prior experience with ultrasound or neuroscience * Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Role: As a Senior Software Engineer, you will take ownership of key systems powering Quizlet’s identity, messaging, and trust infrastructure. You’ll design and implement scalable authentication, consent, and compliance solutions that ensure our millions of learners can connect safely and confidently. You’ll collaborate closely across engineering, security, and product to embed privacy and reliability into our platform. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Design and deliver backend services for authentication and account lifecycle management., • Scale consent and messaging systems to meet new product and regulatory needs., • Lead initiatives that enhance reliability, observability, and performance., • Collaborate cross-functionally with security, legal, and marketing teams., • Mentor junior engineers and contribute to engineering best practices.What you bring to the table:, • 5+ years of backend or platform engineering experience in production systems., • Strong experience with Node.js, Go, Python, or TypeScript., • Familiarity with OAuth2, SSO, MFA, and privacy frameworks (e.g., GDPR, COPPA)., • Proven ability to deliver complex features end-to-end., • Strong communication and collaboration skills.Compensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $170,880 - $231,600, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401(k) plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-FT We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionNetwork Foundations is Plaid’s authoritative source of truth for the user lifecycle, powering user recognition across integration paths, authentication with Plaid, intelligent and context-aware onboarding flows, and the core user data models that drive insights for Plaid’s newest ML-based products. We own the living graph of people’s financial lives — and we operate it at global scale for some of the world’s largest companies, including Google, Meta, Shopify, Square, Robinhood, and Venmo. Our mission is to make Plaid’s network data easy to query, highly accurate, and legally compliant. The infrastructure we build is used by product and machine learning teams across the company to develop high-precision features, analytics, and customer experiences. We focus on enabling consistent data access across both real-time and offline workflows.Responsibilities • Design and build backend data systems that make it possible to query a user’s complete financial life (Plaid users, accounts, and transactions, identity) at scale. You will develop and maintain graph-based infrastructure for identity resolution and entity mapping, • Lead high-impact projects from design through execution: your work will touch tens of millions of end-users, the best applications in fintech, and major financial institutions. You will deliver APs and datasets that power fraud detection, credit decisioning, and personal finance insights, • Work on both the 0 to 1 stage and the 1 to n stage of problems, • Collaborate with data science, machine learning, legal and product teams to support feature development and analytics, • Establish best practices for data quality, performance, reliability and explainability, • Contribute to the team’s technical roadmap and strategy, mentor engineers, and help grow a culture of excellenceQualifications, • 8+ years of software engineering experience, including backend system design and data infrastructure, • Proven experience designing and maintaining distributed systems at scale, • Strong programming skills in Go, Python, or similar backend languages, • Experience working with data platforms (e.g., Redshift, Kafka, Airflow, DBT, or equivalent), • Familiarity with data modeling and lifecycle challenges, • Strong communication and collaboration skills with cross-functional partnersNice-to-Haves, • Experience with graph databases or graph-based data modeling, • Exposure to ML infrastructure or support systems (e.g., feature stores, batch/stream data), • Understanding of data privacy, data access restrictions, or legal compliance in data systems, • Prior experience mentoring or leading technical direction for other engineers, • Experience defining the roadmap of an ambiguous technical area.Target base salary for this role is between $202,800 and $330,000 per year. Additional compensation in the form of equity and/or commission is dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Job DescriptionWho We Are Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy. We design and ship category-defining software that enables Ryder and its 50,000+ customers—including some of the world's most well-known brands—to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder. Baton's mission: enable supply chain on autopilot. Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here. Role: Staff Software Engineer - Machine Learning Operations Team: Machine Learning Pod Location: Hayes Valley, San Francisco, CA Basic Job Details Job Type: Full Time Work Model: Hybrid Remote Days: Monday & Friday Office Days: Tuesday, Wednesday, Thursday Job Description As a Staff Software Engineer within our Machine Learning Team, you will tackle complex challenges in distributed systems and ML operations to enhance our machine learning infrastructure. You'll build scalable ML infrastructure from the ground up - supporting model deployment, distributed training, real-time inference, and more. You'll be a key partner to the Data Science team, helping bring value to production quickly and reliably. This role requires a blend of advanced Python programming skills within production environments and expertise in distributed computing. Responsibilities • Own Core ML Infrastructure:, • Build and scale distributed systems for ML training, serving, and inference., • Design and implement real-time ML workflows that power core product features., • Implementation of Distributed Systems:, • Build robust distributed systems tailored for efficient ML training and seamless operational deployment., • Feature Engineering Enhancement:, • Streamline and manage both online and offline feature stores, optimizing feature engineering processes for greater efficiency., • Real-Time ML Workflow Enhancement:, • Improve real-time machine learning workflows to support dynamic decision-making and automate core operational processes., • Platform Level Ownership:, • Lead the development of ML Ops systems, including model deployment, monitoring, and experiment tracking., • Architect and manage scalable feature stores for online and offline usage., • AI-Driven Optimization:, • Contribute to agentic AI systems for freight matching, ETA prediction, and load scheduling., • Support systems that improve Stop Estimation Accuracy and Cross-Mode Optimization., • Production Ready Engineering:, • Write production-grade Python that operates at scale, with reliability and performance top of mind., • Collaborate across engineering and data science to turn models into resilient software systems.Required Qualifications, • Production Python & Distributed Systems Expertise, • Advanced proficiency in Python at a Staff Level, • Must be within a production environment where the code directly impacts operations., • Experience in distributed computing, scalable ML infrastructure, & high-performance engineering., • Machine Learning (MLOps), • Scales ML infra for multiple teams and use cases., • Experience implementing and serving ML algorithms., • Ensures reproducibility, lineage, and experiment rigor., • Owns end-to-end ML systems: training, deployment, features, monitoring, rollback., • Hands-on experience with data engineering, distributed training, model monitoring, and experiment tracking., • Breadth of knowledge and applied experience across multiple ML applications, with proven ability to leverage a wide range of tools, frameworks, and systems., • Technical Leadership & Cross-Functional Influence, • Leads design and delivery of large-scale ML or distributed systems., • Defines reusable patterns, standards, and architectures., • Drives decisions that improve reliability, latency, and developer velocity., • Sets technical direction and elevates ML engineering standards., • Communicates vision and trade-offs across disciplines., • Can Mentor other ML engineers on the team. Preferred Qualifications • 5 to 8 years of backend or ML infrastructure experience., • Proven track record building production ML workflows at scale., • Experience in industry logistics, transportation, or freight is a bonus. The Perks • Competitive Base Salary, • Long Term Cash Incentive Plans, • Annual Company Bonus, • 401k with Matching, • Hybrid Work Schedule, • Comprehensive Health Coverage, • Hyper-Stable, publicly traded Enterprise, • Employee Stock Purchase Program (15% discount to market value) Compensation will vary based on factors including skill level, transferable knowledge, and experience. Note that the above is not the representation of total compensation, which includes our LTI Package as well. In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses. Why You Should Join • Have an immediate impact:, • With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one., • Opportunity to grow and lead in a Fortune 500 company:, • You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team., • Creative, fast-paced environment to solve impactful problems in Supply Chain:, • We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.

Job Description Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves real-world engineering work—including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. You are good fit if you: * Have experience using coding agents as part of your software engineering workflow. * Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. * Hold a Computer Science degree from a prestigious university. * Have demonstrated success leading teams to build complex database schemas. * Possess expert-level proficiency in API development, including creation, testing, and integration. * Are highly skilled in SQL and database structuring. * Demonstrate exceptional attention to detail and rigorous problem-solving skills. * Excel in both written and verbal communication. About the Role * This project will be a high-impact 24-hour sprint that will start in the next 1-2 weeks * This role would offer a task-based pay (top performers in the previous iteration made upwards of $1000 in the sprint) Compensation and Legal Details * You will be legally classified as an hourly contractor for Mercor * We will pay you out at the end of each week via Stripe Connect About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in A

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the pro

PhD in machine learning or related field (neuroscience, EE, etc).

We're looking for a Machine Learning Engineering Manager to join the Content Ranking team at Snap!. Lead a team of machine learning and software engineers in developing and optimizing our personalized video recommendation engine. Drive rapid iteration without compromising quality by working closely

About The Role As a Staff Machine Learning Engineer, Partnerships at TwelveLabs, you will drive company growth in our highest leverage go-to-market channel: development of our core technology and models on partner platforms (AWS, Snowflake, Databricks, and others). This role is a perfect fit for exp

Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis. Principal Machine Learning Engineer.

Machine Learning Research Engineer , you’ll own end-to-end research cycles—designing, running, and analyzing post‑training experiments that help models evaluate style and subjective quality.

Background in machine learning fundamentals (training, evaluation, model behavior), even if not research-focused.

Machine Learning Engineer, 2+ Years Experience Location: San Francisco. About The Role As a Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows.

In this role you will: Prototype, develop and iterate on new product areas for Watershed, giving our customers powerful AI tools for transforming data and identifying ways to reduce their emissions Productionize and launch core technologies to power AI features on top of a wealth of operational sust

Machine Learning is an integral part of how we at Cash App design products, operate, and pursue our mission to serve the unbanked as well as disrupt traditional financial institutions. Your work will focus on building machine learning systems that detect and prevent risky or abusive activity, streng

Experience deploying machine learning models on robotic systems in the field. AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models. PhD or equivalent experience in Machine Learning or Robotics.

AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN. AI & Machine Learning Engineering Consultant - Manager - Consulting - Location OPEN. OpenAI, DALL‑E, LangChain, Retrieval Augmented Generation).

Hands‑on experience with deep learning and machine learning methods (e. LLM Customization & Fine‑Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre‑training, fine‑tuning, and Reinforcement Learning with Human Feedback (RLHF).

Deep expertise in the evaluation of Machine Learning systems at scale, encompassing metrics design, rigorous experimentation, large-scale data analysis, and statistical methods. Bachelor’s in Computer Science or a similar discipline, or an equivalent amount of deep learning experience. Master’s

Machine Learning Engineer, Amazon General Intelligence (AGI). The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Machine Learning Engineer (MLE) to play a pivotal role in the development of industry-leading multi-modal and multi-lingual Large Language

Senior Machine Learning Engineer. Role Overview:We seek a highly skilled and motivated Machine Learning Engineer to join our dynamic team. In this role, you will design, develop, and deploy machine learning models, including LLM, that enhance our AI-powered clinical intelligence platform.

Machine Learning, with a strong focus on deep learning for perception tasks. Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company. Machine Learning Infrastructure Engineer. You’ll be leading the development of the systems that enable our researchers and eng

Machine Learning and/or Computer Vision. MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline. Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.

A tech company focusing on economic empowerment is seeking a Machine Learning Engineer to lead R&D efforts in developing next-generation AI systems for customer support.

A tech company focused on distributed computing is seeking a Customer Support Engineer to enhance customer experiences by troubleshooting issues and facilitating platform adoption. The ideal candidate has over 3 years in a technical support role, is knowledgeable in machine learning, and has experie

A tech startup in San Francisco is seeking a Machine Learning Support Engineer to enhance customer experiences and support product use.

Find new data scientist, data engineering, and machine learning jobs here. Join our mailing list to receive updates about new data science and Machine Learning Engineer jobs. Plaid is hiring a Machine Learning Engineer in San Francisco!.

A fast-growing AI data startup in San Francisco is looking for a Senior Machine Learning Engineer to lead the development of advanced models and architect scalable ML pipelines.

A leading tech company in San Francisco is seeking an experienced software developer for its Special Projects team.This role focuses on developing and maintaining platforms for machine learning applications and requires strong software development skills.The ideal candidate has 3+ years of experienc

A pioneering AI company in San Francisco is seeking a ML Engineer to develop advanced machine learning models.You will tackle complex engineering problems and design systems that understand physics and performance tradeoffs.Ideal candidates should have expert-level programming skills, a solid unders

At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. In order to set you up for success as a Senior Staff UX Writer & Content Designer at Google DeepMind, we look for the following

A leading AI research lab is seeking a Research Scientist/Engineer to advance the capabilities of their AI agent for code security.In this role, you will leverage machine learning techniques to develop innovative solutions to code security challenges.Candidates should possess a relevant advanced deg

A leading tech company in San Francisco is seeking a skilled ML Engineer to design and implement machine learning models that optimize ad recommendations.The ideal candidate will have a bachelor's degree in a quantitative field and proficiency in Python.Responsibilities include monitoring ML predict