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

Typeface

Principal ML Engineer

Palo Alto, CA · On-site

$230K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Mentor senior engineers and raise the technical bar across the ML organization * Architect and lead development of large-scale generative AI systems powering agentic orchestration and multimodal ...

Visa

Sr ML Engineer

Foster City, CA · On-site

$145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build end-to-end ML solutions (data ingestion feature engineering model training deployment monitoring), ensuring high performance, reliability, and scalability * Apply advanced techniques such as ...

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

  • Medical

  • PTO

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience mentoring data scientists, ML engineers, data engineers, or analytics teams. * Strong knowledge of supervised learning, unsupervised learning, classification, regression, forecasting, NLP ...

Known

AI / ML Engineer

San Francisco, CA · On-site

$200K - $375K/yr

Known - Founding Machine Learning Engineer * San Francisco, CA (In-Person) * 200k-375k Cash ... You'll work directly with Chen Peng, former head of ML at Uber Eats and Faire. What you'll do It ...

Gridware

ML Infrastructure Engineer

San Francisco, CA

$190K - $250K/yr

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

Adaption

Applied ML Engineer

San Francisco, CA · On-site

  • Medical

  • PTO

The Role We're looking for an Applied ML Engineer who thrives at the intersection of applied research and building real-world products, and who's equally comfortable sitting across from a customer as ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

Wispr Flow

ML Engineer

San Francisco, CA · On-site

$250K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role As a ML engineer at Wispr, you'll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are ...

Docker

Staff ML Engineer

Palo Alto, CA · On-site

$205K - $330K/yr

  • Medical

  • Retirement

  • PTO

About the role We're hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how ...

Sigma

Staff AI/ML Engineer

San Francisco, CA · On-site

They are seeking a Staff AI/ML Engineer to join their team, focusing on building the AI foundation that will power Sigma for the future, including developing and scaling AI/ML infrastructure and ...

Flexton Inc

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience mentoring data scientists, ML engineers, data engineers, or analytics teams. Strong knowledge of supervised learning, unsupervised learning, classification, regression, forecasting, NLP ...

Sigma

Senior AI/ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior AI/ML Engineer to join their growing team focused on building the AI foundation that will power Sigma for the future, developing and scaling AI/ML infrastructure, and ...

General Motors

Staff AI/ML Engineer - AV ML Infra

Sunnyvale, CA · On-site

$218K - $335K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Staff 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 ...

Sigma

Staff AI/ML Engineer

San Francisco, CA · On-site

The AI/ML Engineer will join a growing team focused on building the AI foundation that will power Sigma for the future, developing AI systems and infrastructure that enhance user experience and ...

Geico

Senior Staff ML Engineer

Palo Alto, CA

$122K - $168K/yr

We are seeking an accomplished Senior Staff ML Engineer who will serve as a technical leader for Generative AI applications at GEICO. In this individual contributor role, you will be collaborating ...

GEICO

Senior Staff ML Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

We are seeking an accomplished Senior Staff ML Engineer who will serve as a technical leader for Generative AI applications at GEICO. In this individual contributor role, you will be collaborating ...

Flourish Ventures

Senior AI/ML Engineer

San Francisco, CA · On-site

$130 - $180/hr

The ability to operate independently, collaborate cross‑functionally, and move quickly in ambiguous environments What the job involves * We're hiring for a Senior AI/ML Engineer, Growth & Marketing ...

General Motors

Staff AI/ML Engineer - AV ML Infra

Sunnyvale, CA · On-site

$218K - $335K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Staff 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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Showing results 21-40

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.

Principal ML Engineer

Typeface

Palo Alto, CA • On-site

$230K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

About TypefaceWe help the world's biggest brands move from brief to fully personalized campaigns - in days, not months.
Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we're building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.
What You'll Do
As a Principal Machine Learning Engineer, you will operate at the company level-defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.
You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership.
How You'll Make an Impact
  • Define and drive the long-term technical vision for generative AI across Typeface's product ecosystem
  • Lead architecture and design of scalable ML platforms (training, evaluation, inference, safety) used across multiple teams
  • Drive company-level ML strategy, aligning technical investments with product and business priorities
  • Influence and partner with executive leadership, product, and design to shape high-impact initiatives
  • Mentor senior engineers and raise the technical bar across the ML organization
  • Architect and lead development of large-scale generative AI systems powering agentic orchestration and multimodal content generation
  • Define and evolve shared ML infrastructure and platforms for training, fine-tuning, evaluation, and serving
  • Drive cross-team initiatives spanning multiple ML systems and product areas
  • Establish best practices for ML system evaluation, safety, reliability, and performance at scale
  • Identify and incubate 0→1 opportunities in generative AI with high business impact
  • Make high-leverage technical decisions that unlock velocity across teams
  • Mentor and guide engineers across levels, influencing design and execution beyond your immediate team

What You Bring
  • 15+ years of experience building and scaling machine learning systems, with demonstrated impact at the Principal level
  • Master's or PhD degree in Computer Science or a related field
  • Proven track record of driving multi-team or company-level technical strategy
  • Experience leading large, ambiguous, high-impact initiatives (platforms and/or 0→1 systems)
  • Deep expertise in ML systems and infrastructure, including training, evaluation, and inference at scale
  • Strong background in Generative AI / LLMs / multimodal systems
  • Demonstrated ability to influence senior leadership and align cross-functional stakeholders
  • Track record of mentoring senior engineers and elevating engineering excellence
  • Proficiency in Python and systems-level programming (C/C++ or equivalent)
  • Bonus: Experience building ML platforms used across multiple products or teams
  • Bonus: Prior role as a Staff+ / Principal / Senior Staff engineer at a leading AI or technology company
  • Bonus: Contributions to the field (publications, patents, open-source, or widely adopted systems)
  • Bonus: Experience in enterprise SaaS or high-growth startup environments

Location
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
Base Salary
The base salary range for this role is $230,000-$260,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.
Benefits
  • Competitive compensation - including salary, equity, and 401(k)
  • Full medical, dental, and vision insurance for you and your family
  • HSA and FSA options to support your financial wellness
  • Flexible time off - including parental leave
  • Well-being programs - resources to support your mental and physical health
  • Daily lunch & snacks
  • Mentorship & impact - work closely with top AI leaders on products that ship

Equality Opportunity StatementWe welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.
Why You'll Love Working Here
  • Build something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
  • Your work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
  • A+ team - Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies.
  • Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
  • Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

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