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Artificial Intelligence Machine Learning Jobs in California

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$142K - $188K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 6+ years of ...

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Minimum Qualifications Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience 6+ years of ...

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 ...

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 ...

Showing results 21-40

Artificial Intelligence Machine Learning information

See California salary details

$13

$26

$47

How much do artificial intelligence machine learning jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for artificial intelligence machine learning in California is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.50 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), 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 like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in California?

The most popular types of Artificial Intelligence Machine Learning jobs in California are:

What job categories do people searching Artificial Intelligence Machine Learning jobs in California look for?

The top searched job categories for Artificial Intelligence Machine Learning jobs in California are:

What cities in California are hiring for Artificial Intelligence Machine Learning jobs?

Cities in California with the most Artificial Intelligence Machine Learning job openings:

Infographic showing various Artificial Intelligence Machine Learning job openings in California as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $54,086 per year, or $26 per hour.

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

Next Step Systems

San Francisco, CA • Remote

$116K - $147K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 7 days ago


Job description

Job Description

VP of Research, Machine Learning (ML), Artificial Intelligence (AI) Required, Work From Home

The VP of Research, Machine Learning (ML) will own the research and intelligence direction of this system. The VP of Research, Machine Learning (ML) will define how Artificial Intelligence (AI) reasons, evaluates, and improves in a product used with high frequency.  This position is 100% Remote.

VP of Research, Machine Learning (ML) Responsibilities:

- Set and evolve the research direction for the core intelligence, including context representation, memory, reasoning, planning, and orchestration.

- Decide when to design new model architectures versus adapting or leveraging frontier open-source or commercial models.

- Define evaluation frameworks that measure real-world usefulness, robustness, safety, and long-term behavior, not benchmark vanity.

- Own alignment, safety, and guardrail strategy as first-class product concerns.

- Guide exploration of frontier techniques such as retrieval-augmented training, mixture-of-experts, distillation, multi-agent orchestration, and multimodal systems.

- Shape early product intelligence direction in close partnership with product and application engineering.

- Set the technical bar for research rigor, judgment, and taste across the organization.

Qualifications

VP of Research, Machine Learning (ML) Qualifications:

- Deep experience building or evolving real Machine Learning (ML) systems used in production.

- Artificial Intelligence (AI) experience required.

- Strong technical judgment around model behavior, failure modes, and long-horizon trade-offs.

- A builder's mindset, you care about systems that work in the real world, not just ideas.

- Comfortable making irreversible or high-impact decisions with incomplete information.

- Obsession with evaluation, correctness, and how systems behave over time.

- High ownership mentality; you operate as a founder, not a manager.

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

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

Keywords:  San Francisco CA Jobs, VP of Research, Machine Learning (ML), AI, Artificial Intelligence, GPU, JAX, ML, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a VP of Research, Machine Learning (ML) 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 VPs of Research, Machine Learning (ML) for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Additional Information

Please check out all of our jobs at www.nextstepsystems.com.