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Artificial Intelligence Machine Learning Engineer Jobs in California

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Required : • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. • 3+ years of experience in applied machine learning or ML engineering ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

... Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience Preferred Qualifications Experience working on search ranking, relevance ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning ... tasks and engineering tasks Proficient in at least two programming languages such as: C/C++, Go ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

About the Role At Poesis, machine learning and artificial intelligence open the door to improved ... We're looking for an exceptional Machine Learning Engineer to help build the systems that make this ...

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All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in California

Artificial Intelligence Machine Learning Engineer information

See California salary details

$31.1K

$127.1K

$191K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for artificial intelligence machine learning engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in California? For Artificial Intelligence Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in California look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in California are:
What cities in California are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in California with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in California as of July 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

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

Ginas Tech Jobs

San Francisco, CA • On-site, Remote

$123K - $169K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 5 days ago

Job description

Company 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
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