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Senior Machine Learning Jobs in California (NOW HIRING)

Leidos

Senior Machine Learning Engineer

Vista, CA

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid) Employment Type: 6-Month Contract Compensation: $70.00-$85.00/hour (W-2) Help Advance the Next ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid) Employment Type: 6-Month Contract Compensation: $70.00-$85.00/hour (W-2) Help Advance the Next ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$112K - $154K/yr

The Marlin Alliance, Inc. is seekinga talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

The Marlin Alliance, Inc. is seeking a talented and experienced Senior Machine Learning Engineer to join our team. The successful candidate will be expected to design, develop, and implement advanced ...

Leidos

Senior Machine Learning Engineer

Vista, CA · On-site

$107K - $195K/yr

We are seeking a Senior Machine Learning Engineer to work on MLOPS that support the testing, and release of object detection algorithms for our portfolio of products that help safeguard the flow of ...

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All JobsMachine Learning JobsSenior Machine Learning JobsSenior Machine Learning Jobs in California

Senior Machine Learning information

See California salary details

$24.7K

$79.2K

$161.4K

How much do senior machine learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for senior machine learning in California is $79,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $101,700.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they address them?

Senior Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining model performance over time, and integrating models seamlessly with existing systems. Addressing these requires robust monitoring frameworks, collaboration with data engineering and DevOps teams, and implementing strategies like continuous integration/continuous deployment (CI/CD) for ML. Proactive communication with stakeholders and staying updated on the latest MLOps tools can also help ensure smooth deployment and ongoing reliability.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need a strong background in mathematics, statistics, computer science, and experience with designing and deploying machine learning models, typically supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, ML frameworks like TensorFlow or PyTorch, and experience with cloud platforms and version control systems are commonly required. Excellent problem-solving skills, communication abilities, and leadership in collaborating with cross-functional teams make candidates stand out. These skills ensure the effective development, scaling, and integration of ML solutions to drive business value and innovation.

What are Senior Machine Learning engineers?

Senior Machine Learning engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They typically lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and stakeholders to solve complex problems using AI and data-driven techniques. Their responsibilities include researching new algorithms, optimizing model performance, and ensuring the scalability and reliability of machine learning solutions in production environments.
What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What are popular job titles related to Senior Machine Learning jobs in California? For Senior Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning jobs in California look for? The top searched job categories for Senior Machine Learning jobs in California are:
What cities in California are hiring for Senior Machine Learning jobs? Cities in California with the most Senior Machine Learning job openings:
Senior Machine Learning jobs near you
Infographic showing various Senior Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $79,236 per year, or $38.1 per hour.

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago

Job description

Job Description

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production.  You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.  This is a hands-on, high-impact role focused on depth.  This position is 100% Remote.

Senior Machine Learning Engineer Responsibilities:

- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.

- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.

- Turn research ideas into working systems that run reliably in production.

- Debug model failures and system issues using real production signals.

- Iterate quickly: ship, measure outcomes, refine, and repeat.

- Collaborate closely with research, product, and engineering to deliver real user impact.

- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.

- Work under real production constraints: latency, cost, reliability, and safety

Senior Machine Learning Engineer Outcomes:

- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.

- Complex production issues are monitored, debugged, and resolved with minimal disruption.

- Training, inference, and data pipelines are robust, scalable, and maintainable over time.

- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback.

- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.

- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals.

Qualifications

Senior Machine Learning Engineer Qualifications:

- Experience building and shipping Machine Learning (ML) systems used by real users.

- Artificial Intelligence (AI) experience required.

- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.

- Experience writing strong, production-quality code and think in systems, not scripts.

- Experience taking ownership, work independently, and push work across the finish line.

- You learn fast, communicate clearly, and improve through iteration.

- Tech Stack:  GPU-based training and inference systems, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Senior Machine Learning Engineer, AI, Artificial Intelligence, Engineering, GPU, JAX, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire an Senior Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Senior Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

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