2,062 Results for

Machine Learning Jobs in San Francisco, CA

Jobs

The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

30+ days ago

Palo Alto, CA

Full time

30+ days ago

San Francisco, CA

$211,200–$257,500 / year

Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar; Experience with multi-GPU and distributed training at scale; Preferred Qualifications. This role is focused on improving our state-of-the-art "virtual cell" models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease.

30+ days ago

Fremont, CA

li>Ship deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.

29 days ago

San Jose, CA

$170,000–$240,000 / year

Over 50,000 customers globally trust our end-to-end cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before.

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning.

30+ days ago

Sunnyvale, CA

$232,000–$258,000 / year

li>Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.

30+ days ago

Sunnyvale, California

Remote

Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.

30+ days ago

San Jose, CA

li>Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios. Minimum Qualifications:

Individuals who are completing or have recently completed a PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning.

2 days ago

$239,000–$342,000 / year

li>For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX's short-term disability policy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

30+ days ago

Sunnyvale, CA

$185,100–$335,300 / year

Job DescriptionOur Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

30+ days ago

San Francisco, CA

Backed by $350M in funding, we're working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage. In this role, youll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.

30+ days ago

Mountain View, CA

$204,000–$259,000 / year

Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

30+ days ago

Fremont, CA

Design develop and implement computer vision and machine learning models for factory and warehouse applications including defect detection visual inspection process monitoring and quality assurance using techniques like object detection segmentation and anomaly detection. Work with diverse heterogeneous datasets combining multiple modalities including images multi-spectral sensor outputs video text and tabular data to build scalable solutions.

30+ days ago

San Francisco, CA

$251,000–$310,000 / year

You will:

Lead and develop ML solutions for the Waymo driver''s decision making and motion planning -- shaping the data, reward, or loss functions in modeling, data mining from large datasets, developing and refining labeling policies.

30+ days ago

San Jose, CA

li>Improve user experiences during creation by leveraging a deep understanding of user behavior and state-of-the-art machine learning technologies.

Enhance user growth efficiency by optimizing the distribution of content created with CapCut, Hypic, and other similar tools.

3 days ago

San Francisco, California

Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage. In this role, you'll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.

30+ days ago

San Francisco, CA

p>While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. As our Staff Machine Learning Engineer, you will be a core technical leader bringing state-of-the-art computer vision and multi-modal models xe2x80x94 transformers, diffusion networks, vision-language models (VLMs), and JEPA-style architectures xe2x80x94 from research into robust, production-grade systems.n.

9 days ago

Mountain View, CA

This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions. About the role As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying state-of-the-art multi-modal models.

30+ days ago

Palo Alto, CA

$179,200–$268,800 / year

When you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. What you''ll need to succeed: Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master''s degree and 2+ years of relevant experience, or PhD).

30 days ago

Mountain View, CA

$250,000–$334,530 / year

We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.

30+ days ago

Santa Clara, CA

$215,280–$364,320 / year

li>

Analyze TSR-related scenarios and failure cases, including missed detections, false positives, occlusions, small objects, rare signs, region-specific signs, and adverse weather or lighting conditions.

This role is ideal for candidates who enjoy solving practical computer vision problems, building reliable model iteration pipelines, and bringing perception models from offline training to onboard production systems.

2 days ago

Sunnyvale, CA

Your role will bridge cutting-edge research and practical engineering, requiring you to balance innovation with the real-world constraints of shipping products at scale-whether that's ensuring localization works reliably in challenging environments, handling edge cases in visual recognition, or optimizing models to run in real-time on device. We're seeking a talented Machine Learning Engineer who excels at transforming research innovations into production-ready solutions, tackling the full spectrum from training large-scale models to optimizing them for real-time, on-device performance.

30+ days ago

San Francisco, CA

Remote

p>What you'll do: Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Collect, analyze, and synthesize findings from data and build intelligent data-driven model Write clean, efficient, and sustainable code Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search Scope and independently solve moderately complex problems. Youll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: computer vision, graph neural network, natural language processing (NLP), inclusive AI, reinforcement learning, user modeling, and recommender systems.

30+ days ago

Mountain View, CA

Your team will play a pivotal role in improving our search relevance in a systematic and methodical manner as we scale to new customers, new types of data and use-cases, and will ultimately be accountable for the ranking quality of all our enterprise search products. • Proven experience managing high-performing teams, including mentoring and supporting Staff-level (I6) or higher engineers, with a strong track record of delivering technically ambitious, production-grade projects.

30+ days ago

You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions.

Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions.

30+ days ago

San Francisco, California

p dir="ltr">Our most complex system is our risk model, your day to day will include feature generation and model training using machine learning techniques, developing A/B testing procedures, implementing automated model retraining and creating new projects based on your findings.

Our mission at Umba is to use machine learning to allow us to create intelligent, affordable financial products for emerging markets.

30+ days ago

Sunnyvale, CA

p>Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products.

Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

30+ days ago

Santa Clara, CA

p>Strong engineering and R&D experience in LLM post-training, advanced RL-based methods to improve LLM models' safety and quality using RLHF/RLAIF, reward model, advanced RL policy optimization algorithms, cutting-edge hallucination reduction methods, and their engineering implementation, hands-on experience to develop and ship RL based models with high availability, low latency, robustness, and stability. In addition, improve the summarization models' quality for world knowledge-seeking questions and Safari pages to provide accurate answers and highlight web page gists in real-time.

30+ days ago

San Francisco, California

p style="min-height:1.5em">Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization — with guidance from senior engineers.

12 days ago

San Francisco, CA

$137,100–$201,600 / year

We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply.

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.

30 days ago

Mountain View, CA

p>We are a small, passionate and driven team of experienced ML researchers and software engineers on a mission to tackle climate change by developing novel neural reasoning capabilities that enable stakeholders to target their mitigation efforts. This role requires a deep passion for problem-solving and experimentation, moving across the full range of applied machine learning tasks from initial prototyping to building full-scale, robust solutions.

30+ days ago

San Francisco, California

Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management.

Rapidly implement and iterate on machine learning models, signals and research ideas.

16 days ago

Palo Alto, CA

$168,000–$300,000 / year

p>As a Machine Learning Engineer on the Bottle Rocket team, you will play a critical role in developing innovative, data-driven solutions on Tesla's generative AI platform.

Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes.

9 days ago

San Francisco, California

Remote

$112,000–$269,000 / year

Summary:

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems.

Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations.

30+ days ago

Palo Alto, CA

Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management.

Working knowledge of cloud-native architecture and cloud deployment frameworks, including microservices, containerization, Jenkins deployment pipeline, Docker files, Github actions & K8s.

18 days ago

Mountain View, CA

To be successful in this role you have: 10+ years of industry experience in Machine Learning, Infrastructure or related fields Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM Experience with building and scaling end-to-end machine learning systems Experience building scalable micro services and ETL pipelines Expertise in Python and experience with performant language such as C++ or GoLang Bachelors in Computer Science, Computer Engineering, Mathematics, or equivalent field A love of research publications in the machine learning and software engineering communities Effective communicator with experience collaborating cross-functionally with other teams. Build abstractions to automate various steps in different ML workflows Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features Leverage your experience to drive best practices in ML and data engineering.

30+ days ago

Palo Alto, CA

Ability to legally work full time (40 hours/week) from September-December 2026 Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow) Proficiency with AI-native engineering, including the design of agent-friendly codebases. Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems Write clean, efficient, and sustainable code Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: This role will be on our Visual Search team.

30+ days ago

San Francisco, California

h4>Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!.

What you bring to the table

Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.

16 days ago

San Francisco, CA

$157,000–$234,000 / year

p>With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way.

Relevant MLOps certifications (e.g., AWS Certified Machine Learning - Specialty, DataRobot MLOps Certification) are a plus.

30+ days ago

p>This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio's AI/ML products and services.

You will understand customers need, build data products that works at a global scale and own end-to-end execution of large scale ML solutions.

30+ days ago

Fremont, CA

$133,440–$200,160 / year

li>Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks.

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction.

30+ days ago

Sunnyvale, CA

$267,000–$297,000 / year

We are a small, rapidly growing team tackling some of the most challenging problems in AI-assisted data annotation and validation, which means youll have exceptional scope ownership and direct influence over both technical direction and business outcomes. Enable cross-functional impact, partnering with ML Ops, backend, and platform teams to ensure solutions demonstrate craftsmanship, reliability, and scalability while managing upstream and downstream dependencies.

30+ days ago

San Jose, CA

Training vertical large models and applying them to security tasks, such as code analysis, vulnerability detection, attack research and judgment, threat intelligence, SDLC (Secure Development Lifecycle). About the Team The security engineering team is missioned to build security services, platforms and technologies, as well as to support cross-functional teams to protect our users, products and infrastructures.

30+ days ago

Sunnyvale, CA

$242,800–$357,000 / year

Mentor and guide a fast-growing organization in setting the right architectural patterns, working with various vendors in the space, and making judicious investments in the right areas anticipating what the company needs a few years down the road.

25 days ago

Palo Alto, CA

$80,000–$222,000 / year

You will collect some of the largest datasets of real-time test, factory and fleet of Charging & Energy products and develop machine learning models to unlock decision making on prognostics and targeted design actions.

Nice to have: Record of coming up with new ideas (or improving upon existing ideas) in statistical modeling or machine learning, demonstrated by accomplishments such as first author publications or open-source projects.

30+ days ago

Sunnyvale, CA

$270,000–$307,000 / year

You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate.

30+ days ago

San Francisco, CA

$151,300–$178,000 / year

p>What you'll do:

Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle.

3 days ago

San Jose, CA

As a CMMI Level 5 and Great Place to Work Certified global IT consulting and services companyand recognized as one of the Best Places for Womenwe are committed to building an inclusive, supportive, and high-performance workplace Job Description Job Title: Staff Machine Learning Engineer Location: - San Jose, CA Full Time role Direct Client: 100% Onsite role Position Description Role Description Job Description This is a "full-stack" ML systems role for a senior individual contributor and technical architect. This unique role blends three key domains: MLOps & Data: You will architect the entire data lifecycle, including our CI/CD pipelines, data-labeling loops, and on-device monitoring.

30+ days ago

San Francisco, CA

Remote

p>12+ years of industry experience in applied Machine Learning 2-3+ years working with LLMs and novel GenAI technologies Proficiency and proven experience on Agentic AI (frameworks, orchestration, architecture and productionization) A Bachelor's, Master's or PhD in CS/ML or related field Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills Deep understanding of Machine Learning best practices (eg.

As a senior technical individual contributor, you will partner closely with our leaders across the broader technical organization helping design, execute and deliver in a complex and collaborative roadmap of Trust engineering efforts that will require collaboration across many parts of the organization and many parts of Airbnb.

30+ days ago

San Francisco, CA

We leverage artificial intelligence and advanced ML, deep learning techniques to power decision-making in real time - from optimizing ad auctions to generating the most efficient bids and pacing budgets dynamically.

The mission of the Marketplace Optimization team is to ensure we maintain a healthy Ads Marketplace across all our verticals for both search (query context) and discovery experiences while fulfilling the requirements of all players in this marketplace.

30+ days ago

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Machine Learning Jobs in San Francisco, CA

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase & Co

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence JPMorgan Chase Bank, N.A.

Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell Altos Labs Inc

Machine Learning Engineer - Reinforcement Learning pony.ai

AI Senior Machine Learning Engineer -Gen AI Machine Learning Graph ML 10189 Extreme Networks Inc

Staff Machine Learning Engineer - AV Labs Uber Technologies Inc

Matterport - Lead Machine Learning R&D Engineer CoStar Group

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2026 Start (PhD) TikTok Inc

Machine Learning Engineer Staff & Principal Tubi Inc

Staff Machine Learning Engineer - Mapping General Motors Co

Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock Robotics Inc

Machine Learning Engineer - Mapping Waymo LLC

Machine Learning Engineer, Factory Vision Systems Tesla Inc

Staff Machine Learning Engineer, Vehicle Compliance Reasoning Waymo LLC

Machine Learning Engineer - Data Recommendation (CapCut) Beijing ByteDance Technology Co Ltd

Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock Robotics

Staff Machine Learning Engineer - Computer Vision & Multi-Modal AI Unity Software Inc

Machine Learning Engineer, AI for Chemistry project X Development LLC

Senior Software Engineer - Scalable Machine Learning Latitude AI LLC

Staff Machine Learning Engineer, Data Flywheel Waymo LLC

Staff Machine Learning Engineer XPeng Inc.

Machine Learning Engineer and Computer Visions Engineer, Vision Products Group Apple Inc

Machine Learning Engineer II, Applied Research Science Pinterest Inc

Machine Learning Engineering Manager, GAI Search Relevance - Moveworks ServiceNow Inc

PhD Fall Machine Learning Intern ATG - Visual, Multimodal, and Recommender Systems Pinterest Inc

Machine Learning Lead Umba

Machine Learning Engineer Apple Inc

Senior Staff Machine Learning Engineer, Apple Search & Knowledge Platforms Apple Inc

Machine Learning Engineer I Handshake

Staff Machine Learning Engineer, Fulfillment Planning DoorDash Inc

Machine Learning Engineer, Climate Finance project X Development LLC

Machine Learning Engineer Poesis

Staff Machine Learning Engineer, AI Infrastructure Tesla Inc

Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States) Yelp, Inc

Sr AI/ Machine Learning Engineer - SAP BTP Fabric SAP SE

Senior Staff Machine Learning Engineer, Agentic Systems - Moveworks ServiceNow Inc

Master''s Fall Machine Learning Internship ATG - Visual Search Pinterest Inc

Machine Learning Engineer PhysicsX

Senior / Staff Machine Learning Ops Engineer Waabi

Staff Machine Learning Engineer L4 Twilio Inc

Machine Learning Engineer, Global Supply Chain Tesla Inc

Senior Staff Machine Learning Engineer - Moonshot AI Uber Technologies Inc

Machine Learning Engineer Project Intern (Security-Data) - 2026 Start (BS/MS) Beijing ByteDance Technology Co Ltd

Senior Staff Machine Learning Engineer, Consumer DoorDash Inc

Staff Machine Learning Engineer, Energy & Charging Tesla Inc

Matterport - Lead Machine Learning R&D Engineer CoStar Group Inc

Machine Learning Engineer Quantcast Corp

Staff Machine Learning Engineer Sa Technologies, Inc.

Senior Staff Machine Learning Engineer, Trust Airbnb Inc

Machine Learning Engineer, Marketplace Optimization DoorDash Inc

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