251 Results for

Machine Learning Engineer Jobs in Burlingame, CA

Jobs

Machine Learning Researcher Alljoined

San Francisco, California

A bachelor’s or master's degree in computer science or a related field—such as artificial intelligence, computational neuroscience, mathematics, or biomedical engineering—and five to seven years of experience in industrial machine learning research; or. A PhD in computer science or a related field—such as artificial intelligence, computational neuroscience, or biomedical engineering—and at least three years of experience in machine learning research or applied machine learning engineering.

3 days ago

Senior Machine Learning Scientist, Imaging Insitro

South San Francisco, CA

$215,000–$235,000 / year

You will be part of a cross-functional team of life scientists, software engineers, computational biologists, and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity. We work hard to bring together diverse teams-grounded in a wide range of expertise and life experiences-and work even harder to ensure those teams thrive in inclusive, growth-oriented environments supported by equitable company and team practices.

30+ days ago

Software Engineer - Machine Learning Figma

San Francisco, CA • New York

Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Whether you’re building intelligent search systems, crafting scalable data pipelines, or enhancing AI-powered creativity tools, your work will drive user productivity, shape new product experiences, and advance the state of AI at Figma.

30+ days ago

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Amazon.com Inc

Cupertino, CA

As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts.

30+ days ago

ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration Amazon.com Inc

Cupertino, CA

30+ days ago

Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Amazon.com Inc

Cupertino, CA

Our Machine Learning Acceleration (MLA) team develops the Inferentia and Trainium SOCs that are used to power today's AI workloads in datacenters all around the world. Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.

30+ days ago

RTL Design Engineer, Machine Learning Accelerators Google LLC

Sunnyvale, CA

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Were the driving force behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

4 days ago

Research Engineer - Reinforcement Learning, Self-Driving Applied Intuition Inc

Sunnyvale, CA

$126,000–$423,000 / year

Supported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. At Applied Intuition, you will: Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving.

30+ days ago

Data Engineer, Machine Learning Vizcom

San Francisco, California

More than 700,000 designers have worked in Vizcom, and every session leaves a trail: candidates selected, outputs promoted into designs, regions masked and renamed, and entire directions kept or discarded. Researchers as your users: You'll work directly alongside the people using the datasets you build, creating an unusually tight feedback loop between data engineering and research.

4 days ago

Machine Learning Engineer, Brand Ads TikTok Inc

San Jose, CA

What You ll Build You will help build and evolve the systems behind a fast-growing portfolio of brand advertising products: Guaranteed delivery and pacing: the systems that meet committed delivery goals reliably while keeping delivery quality high. Why Join Us You will work on a brand-facing business where your systems map directly to revenue and to the experience of major advertisers, solving real inventory and delivery problems at global scale and influencing both product and technical direction.

30+ days ago

Machine Learning Engineer (1 Year Fixed Term, 2 Openings) Stanford University

Stanford, CA

$80,148–$99,773 / year

Working closely with Dr. Karl Deisseroth and a team of neuroscientists and computational researchers in the Deisseroth Lab, the Research Data Analyst will play a pivotal role in designing and implementing data processing and analysis pipelines for large experimental and theoretical projects that enhance neuroscience research. The objective is to produce robust data processing and analysis pipelines that facilitate the study of cortical network dynamics in decision-making, affective processing, and sensory processing, electrophysiological signatures of neuropsychiatric disorders, and next-generation neuromodulation techniques for therapeutic interventions.

30+ days ago

Applications Engineer Trumpf

Santa Clara, CA

$108,000–$159,783 / year

Through coordination and cooperative efforts, communicate and review client technical roadmaps to product centers and ensure there is a transparent path to 1) allow TRUMPF Huettinger development projects and new technical concepts to hit windows of opportunity and 2) consistently meet the client’s technical objectives and expectations. Working in conjunction with the Trumpf Huettinger sales team and R&D departments of the product centers, as technical advisor and product advocate, the Applications Engineer must be able to identify and provide reliable solutions for all technical issues to assure complete customer satisfaction through all stages of the sales process.

9 days ago

Director, Machine Learning - User Value Unity Software Inc

Mountain View, CA

$250,300–$325,400 / year

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. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

30+ days ago

Machine Learning Engineering Manager, Industrial Autonomy & Applied ML Mariana Minerals

San Francisco, California

We're hiring a Machine Learning Engineering Manager to lead the MLEs working on everything outside the chemistry and process models: perception and vision, sensor and robotics initiatives, LLM-powered and agentic workflows, and the ML platform and MLOps infrastructure the whole applied AI/ML organization depends on. Structure from ambiguity: Turn a loosely defined plant problem or internal-tool idea into scoped engineering work with clear success criteria, and align operators, MLEs, software engineers, and product behind it.

18 days ago

Deep Learning Engineer Matroid

Palo Alto, CA

$170,000–$300,000

Knowledge of model architectures and techniques across a broad range of domains, including object detection, segmentation, anomaly detection, object tracking, video-understanding and vision language models. We are looking for a world-class Deep Learning Software Engineer who is excited to operate at the forefront of computer vision and deep learning applied to challenging, real-world use-cases.

30+ days ago

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

Mountain View, CA

$139,700–$216,500 / year

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

Machine Learning Ops Engineer, Global SRE TikTok Inc

San Jose, CA

MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and efficient operations of machine learning models from data preparation, development, training, deployment, serving and so on. 5) Responsible for resource management and planning of machine learning resources, including: cost and budget, resource efficiency enhancement, offline and online resources tides, etc.

30+ days ago

Machine Learning MLOps Engineer Graduate (MLOps) - 2027 Start TikTok Inc

San Jose, CA

Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization. Responsibilities: Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services.

30+ days ago

Site Reliability Engineer - Applied Machine Learning Beijing ByteDance Technology Co Ltd

San Jose, CA

Resource & Cost Management: Oversee resource governance across GPU/CPU/storage/network, including quota management, cost attribution, and performance tuning, to improve system availability, resource utilization, and overall R&D efficiency. Reliability Engineering: Build and maintain mechanisms for SLO/SLA, observability, alerting, On-call processes, fault diagnosis, auto-healing, disaster recovery, and incident reviews (post-mortems).

30+ days ago

Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Amazon.com Inc

Cupertino, CA

As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.

30+ days ago

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Machine Learning Engineer Jobs in Burlingame, CA

Machine Learning Researcher Alljoined

Senior Machine Learning Scientist, Imaging Insitro

Software Engineer - Machine Learning Figma

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs Amazon.com Inc

ASIC Design Engineer II, Annapurna Labs - Cloud-Scale Machine Learning Acceleration Amazon.com Inc

Sr MLA Design Verification Engineer, Cloud-Scale Machine Learning Acceleration - Annapurna Labs Amazon.com Inc

RTL Design Engineer, Machine Learning Accelerators Google LLC

Research Engineer - Reinforcement Learning, Self-Driving Applied Intuition Inc

Data Engineer, Machine Learning Vizcom

Machine Learning Engineer, Brand Ads TikTok Inc

Machine Learning Engineer (1 Year Fixed Term, 2 Openings) Stanford University

Applications Engineer Trumpf

Director, Machine Learning - User Value Unity Software Inc

Machine Learning Engineering Manager, Industrial Autonomy & Applied ML Mariana Minerals

Deep Learning Engineer Matroid

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

Machine Learning Ops Engineer, Global SRE TikTok Inc

Machine Learning MLOps Engineer Graduate (MLOps) - 2027 Start TikTok Inc

Site Reliability Engineer - Applied Machine Learning Beijing ByteDance Technology Co Ltd

Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Amazon.com Inc

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