Machine learning jobs in San Francisco, California - Page 2Create job alerts

You'll develop and implement machine learning models for personalized workouts, collaborating with experts in biomechanics and product engineering.

This role involves developing machine learning solutions for music and podcast recommendations. Join a dynamic team where you can influence music engagement for millions of users worldwide.

A tech company in San Francisco is seeking an experienced AI Product Manager to lead the development of innovative AI-powered applications. The ideal candidate has over 4 years of product management experience, particularly in AI or machine learning, and is skilled at translating complex concepts in

Ideal Qualifications - 3+ years of experience in data science, machine learning, or a related analytical field. Proficiency in Python and key data science libraries (e. Role Overview Mercor is partnering with a leading AI lab to engage independent Data Science Experts for diverse research an

About the Role** Mercor is seeking experienced Securities, Commodities, and Financial Services Sales Agents to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems.

SynergisticIT supports roles such as entry-level programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.

Advance your career with Mindlance! We have been connecting talented IT professionals with world-class companies since 1999. Mindlance is here to help you to find the perfect fit with just the right company. Currently, we are seeking a Senior AI full-stack engineer for an exciting career growth opportunity. Make your next big career move with the kind of position that will allow you to be genuinely passionate about the work you do! Our recruiters will work closely with you to help you get the edge over the competition. Let Mindlance advocate for you – apply today! “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” Job Title: Senior AI Full Stack Engineer Job Category: Information Technology Industry: Biotechnology Job Location: South San Francisco, CA Zip Code: 94080 Top 3/5 Skills: AI/ML experience, JavaScript with Vue.js, React, or similar, Python Min & Max Pay Rate: $75/hr.-$80/hr. only W2 This position is required to be on-site 3 days/week in South San Francisco, CA Contract: 12 months (possible extension up to 3 years) Who You Are: · An experienced full-stack developer capable of bringing your expertise to our existing and upcoming AI applications/projects as both a leader and individual contributor. · Someone with a clear understanding of the current landscape of AI & AI-based applications, including potential benefits, limitations, and standard of practice. The Opportunity: · Innovate and develop software applications to support clinical development · Identify and integrate AI/LLM capabilities to enhance data processing and natural workflows. · Design intuitive, user-centric interfaces. · Code Quality and Documentation: Write clean, maintainable, and well-documented code. Participate in code reviews and contribute to best practices in software development. · Research and Innovation: Stay up-to-date with the latest advancements in generative AI and machine learning. Evaluate new technologies and methodologies to continuously improve our solutions. · Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and product managers to integrate generative AI capabilities into our products and services. · Deployment and Monitoring: Develop and maintain robust deployment pipelines for AI-enhanced applications. Monitor pipeline performance in production and implement necessary improvements.

Thanks for your interest in Found! Our Data team is a full stack data organization of highly skilled data scientists, machine learning engineers and data engineers. Were excited to add a Senior Data Scientist to our team. Were responsible for everything from researching, training, and deploying ML m

As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals). Strong background in machine learning or a closely-related field (e. Modelling & algorithms ��

Hivemapper is a decentralized global mapping data network built by tens of thousands of people.At any given time, many thousands of dashcams are collecting high‑quality sensor data somewhere in the world and performing various computations at the edge, including state‑of‑the‑art computer vis

LMArena is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models You’ll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. PhD or equivalent research experience in M

We like learning new things and then sharing our new knowledge with each other.

Machine Learning Systems Engineer, Research Tools. You're excited to work at the frontier of machine learning, implementing and improving advanced techniques to create ever more capable, reliable and steerable AI. Want to learn more about machine learning research.

Our mission is to build causal intelligence, starting with physics models to predict and control the weather.We're building a small team driven by a deep passion and urgency to solve this civilizationally important problem.Our founding team has led & shipped models across self‑driving cars, humano

A cutting-edge AI firm in San Francisco seeks an innovative professional to partner with scientific groups and launch Medra Labs.In this role, you will utilize your MS or PhD in a relevant field to design AI processes that enhance scientific discovery.The ideal candidate will demonstrate strategic t

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

Machine Learning Engineer/h2pAt Krea, we are building next-generation AI creative tools. Were looking for a machine learning engineer who can work on large-scale image and video models training experiments. Conducting large-scale experiments on high-performance computing clusters, optimizing data pi

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below.The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand.There

We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams. You hav

We’re looking for a Machine Learning Engineer to contribute to high‑performance distributed training infrastructure for RL at scale. At Osmosis, we help companies use cutting‑edge reinforcement learning techniques to fine‑tune open‑source language models that beat foundation models on perf

AI or Machine Learning Engineering. Glean is seeking Machine Learning engineers focused on Quality and traditional ML work to help build the Enterprise Brain—proactive AI products that detect and automate tasks for users, unlocking true productivity. Design and optimize reinforcement learning a

Help us build the systems that train specialized AI models for the fastest-growing companies in the world.If you love taking cutting-edge ML techniques and turning them into products that ship, we'd love to meet you.The models we train match GPT-5 accuracy but are smaller, faster, and up to 90% chea

Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery. You'll have the opportunity to innovate on methods, work with leading drug discovery scientis

Apply machine learning techniques to build multi-modal sensor fusion architectures and spatial-temporal representation learners for object detection and tracking, occupancy and semantic segmentation, road understanding, etc. Machine Learning and/or Computer Vision. MS or PhD Degree in Machine Learni

A leading AI technology company is seeking a Machine Learning Research Engineer to develop critical ML systems for their GenAI platform.This high-impact role involves designing and deploying scalable ML solutions, utilizing advanced techniques and frameworks.Candidates should have 3+ years of experi

Ideal candidates have extensive experience in production machine learning systems and familiarity with data storage for search use cases.

A prominent venture capital firm based in San Francisco is seeking a Machine Learning Engineer to lead the technical strategy and implementation of machine learning systems.The role involves developing internal and external applications, maintaining scalable ML pipelines, and collaborating with dive

A leading sports technology company based in San Francisco is seeking a Senior Machine Learning Platform Engineer.This role involves driving AI/ML projects from start to finish, working with extensive datasets, and contributing to a popular consumer product.The ideal candidate should have a strong m

Director of Finance & Operations. We come from a variety of backgrounds ranging from machine learning to marketing-but regardless of where we come from, Unlearners share some common traits:. Advanced Excel/Google Sheets proficiency with strong financial modeling capabilities.

Strong background in machine learning with a PhD or equivalent industry experience in AI/ML/Computer Science. Get notified about new Artificial Intelligence Engineer jobs in. It's a high-impact position combining hands-on engineering, experimentation, and strategic input.

As part of our expanding Data Science function, we're building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. Statistics, Computer Science, Economics, Operations Research). We partner closely with

A leading communication platform is seeking a Senior Machine Learning Engineer for their Safety ML team focused on modeling for user safety.You will analyze data, build models to detect risk, and collaborate with product and engineering teams.The ideal candidate has 4+ years of experience in ML engi

We're assisting a profitable Enterprise AI Customer Support startup with their search for their first Machine Learning Research Engineer.

Mentor engineers, unblock thorny problems and act as subject?matter expert for data science topics.

A leading software company in San Francisco is seeking a Staff Machine Learning Scientist to drive product innovation in AI.

As a Data Scientist on Plaid’s Fraud Data team, you will analyze customer and network traffic to understand how Protect performs across different segments and use cases. The Data team within Plaid’s Fraud organization builds the machine learning systems that power Plaid’s newest fraud detectio

You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user��

A rapidly growing healthcare technology company is seeking a Senior Data Scientist to support analytics projects focused on quality management and risk adjustment. Candidates should have extensive experience in data science, Python, and machine learning.

Estimated Base Salary $220K – $320K • Offers Equity.Help us build the systems that train specialized AI models for the fastest-growing companies in the world.If you love taking cutting‑edge ML techniques and turning them into products that ship, we'd love to meet you.The models we train match

You are an authority in machine learning and AI and deeply understand how those tools get used to solve real business problems. You’re motivated by the real impact and customer delight you drive through machine learning. Research and implement machine learning best practices to elevate our creator

Experience in reinforcement learning, transfer learning, or learning. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We build and operate large‑scale machine learning and data systems, simulation workflows, and insight tools.

This role involves evaluating machine learning models to generate maps, working collaboratively to evolve mapping formats, and building backend infrastructure for processing map data. Computer Science or equivalent, experience with statistical analysis, and a passion for software engineering.

You have a strong understanding of deep learning AI/ML frameworks or cloud services.

You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. As a Capital One Machine Learning Engineer

We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. Contribute to the vision, strategy, and execution of high-impact Machine Learning (ML) and Artificial Intelligence (AI) initiatives across pro

Machine Learning Research Engineer.

Deep understanding of machine learning approaches, algorithms and their application to recommender and search system. Experience working with machine learning, ranking infrastructures, and system designs. Experience working with large-scale machine learning frameworks such as TensorFlow, Caffe2, PyT

Tachyon Predictive AI team seeking a hybrid Data Science & ML Ops Engineer to drive the full lifecycle of machine learning solutions-from data exploration and model development to scalable deployment and monitoring. This role bridges the gap between data science model development and production-grad