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Ml Engineer Jobs in San Ramon, CA (NOW HIRING)

Known

AI / ML Engineer

San Francisco, CA · On-site

... Engineer to design and build their core systems intelligence. The role involves training and deploying ML models, building personalization systems, and enhancing AI agents using unique multi-modal ...

Human Computer Lab

ML Engineer

San Francisco, CA · On-site

Integrate ML systems with robotic hardware and embedded systems * Improve robot perception, responsiveness, and behavioral intelligence * Collaborate with robotics engineers to build integrated ...

Ello

AI/ML Engineer

San Francisco, CA · On-site

They are seeking an AI/ML Engineer to join their product engineering and applied research team to build an AI teacher that enhances children's education through innovative technology.

Macroscope

Senior Applied ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

About the role We're looking for a n Applied ML Engineer to design, build, and optimize the machine learning and AI systems that power Macroscope's core features. You will have ownership and agency ...

Ello Technology, Inc

AI/ML Engineer

San Francisco, CA · On-site

$155K - $205K/yr

About the role We're looking for an AI/ML Engineer to join our product engineering and applied research team. Our team operates at the intersection of research and production, solving open-ended ...

Sigma Computing

Senior AI/ML Engineer

San Francisco, CA

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands ...

Sigma Computing

Staff AI/ML Engineer

San Francisco, CA · On-site

$240K - $270K/yr

As an AI/ML Engineer, you'll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands ...

Rocket Money

Staff ML Engineer, Product

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ...

Ello

AI/ML Engineer

San Francisco, CA · On-site

They are seeking an AI/ML Engineer to join their product engineering and applied research team, focusing on building AI products that enhance children's education and collaborating with experts to ...

General Motors

Senior AI/ML Engineer - AV Infra

Sunnyvale, CA · On-site

$170K - $261K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior AI/ML Engineer, AV ML Infra We'reGeneral Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies. We'rebuilding the world's most ...

General Motors

Senior AI/ML Engineer - AV Infra

Sunnyvale, CA · On-site

$170K - $261K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior AI/ML Engineer, AV ML Infra We're General Motors (GM), a company driving the future of mobility with advanced self-driving and electric vehicle technologies. We're building the world's most ...

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All JobsMl Engineer JobsMl Engineer Jobs in San Ramon, CA

Ml Engineer information

See San Ramon, CA salary details

$36.9K

$99.7K

$158.7K

How much do ml engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ml engineer in San Ramon, CA is $99,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $121,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often find opportunities in tech, finance, healthcare, and other sectors investing in AI solutions.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What are the most commonly searched types of Ml Engineer jobs in San Ramon, CA?

The most popular types of Ml Engineer jobs in San Ramon, CA are:

What are popular job titles related to Ml Engineer jobs in San Ramon, CA?

For Ml Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What cities near San Ramon, CA are hiring for Ml Engineer jobs?

Cities near San Ramon, CA with the most Ml Engineer job openings:

Ml Engineer jobs near you
Infographic showing various Ml Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $99,664 per year, or $47.9 per hour.

AI / ML Engineer

Known

San Francisco, CA • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Known is a matchmaker that talks to users and supports them like a friend, and they are seeking a Founding Machine Learning Engineer to design and build their core systems intelligence. The role involves training and deploying ML models, building personalization systems, and enhancing AI agents using unique multi-modal data sets.
Responsibilities:
• Training and deploying ML models that form the core of our recommendation engine
• Designing evals to assess recommendation ability and RL systems to learn from results data
• Building personalization and long-term memory systems into Known’s conversational AI
• Using LLMs to enhance our suite of user facing AI Agents
• You will own the end-to-end lifecycle of your models, from ideation and training to deployment and monitoring.
Qualifications:
Required:
• 4-6 years experience training and deploying ML models in production, leveraging PyTorch and TensorFlow
• Applying or fine-tuning LLMs to build agentic systems or complex conversational AI
• Experience with neural network models
• Experience with model deployment and basic infrastructure (e.g., Docker, Kubernetes, AWS/GCP)
• You want to build intelligence that could lead to a million marriages and babies
Company:
Known is a marketing agency that offers data science, research, and technology. It is a sub-organization of Schireson Associates. Founded in , the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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