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Machine Learning Ai Jobs in California (NOW HIRING)

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

BeeGenius is building the future of work, and they are seeking an AI/Machine Learning Engineer to join their team. In this role, you will be responsible for developing and implementing machine ...

BeeGenius

AI/Machine Learning Engineer

Sunnyvale, CA · On-site

Bee Genius is building the future of work and is seeking an AI/Machine Learning Engineer to join their team. The role involves developing and implementing machine learning models and algorithms to ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on the mission to be the world's most trusted data partner for AI companies, supporting global partners with reliable and scalable data solutions. The Machine Learning Engineer will ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

Abaka AI is built on a mission to be the world's most trusted data partner for AI companies. They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for ...

Gyrus AI

AI / Machine Learning Engineer

Santa Clara, CA · On-site

$80 - $120/hr

Develop machine learning applications according to requirements * Select appropriate datasets and data representation methods * Train ML/AI algorithms and test them for accuracy, precision and recall.

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

Nace AI is a company focused on machine learning solutions, and they are seeking a Machine Learning Engineer to translate cutting-edge research into scalable, production-ready solutions. The role ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

  • Medical

  • Life

  • PTO

We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning ...

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All JobsMachine Learning Ai JobsMachine Learning Ai Jobs in California

Machine Learning Ai information

What is a machine learning AI?

A Machine Learning AI specialist is a professional who develops algorithms and models that enable computers to learn from and make predictions or decisions based on data. They work with large datasets, train and evaluate machine learning models, and often collaborate with software engineers and data scientists to integrate AI solutions into products and services. Their work is crucial in fields like natural language processing, computer vision, and predictive analytics, helping organizations automate tasks, gain insights, and improve efficiency.

What are the key skills and qualifications needed to thrive as a machine learning AI?

To thrive as a Machine Learning AI Engineer, you need a strong background in mathematics, statistics, programming (typically Python), and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow and PyTorch, as well as cloud platforms and data processing tools, is essential, and certifications in these areas can be advantageous. Strong problem-solving, communication, and collaboration skills help you effectively translate business needs into technical solutions and work well within multidisciplinary teams. These skills ensure you can develop robust AI models that address real-world challenges and deliver meaningful business impact.

What are some common challenges faced when collaborating with cross-functional teams as a machine learning AI?

As a Machine Learning AI professional, you’ll often collaborate with data engineers, software developers, and product managers. A common challenge is bridging the gap between complex AI models and practical business requirements, ensuring your solutions are both technically sound and aligned with user needs. Effective communication is key, as you’ll need to explain technical concepts to non-technical stakeholders and adapt your models based on feedback. Building trust and fostering a collaborative environment will help ensure successful project outcomes and foster continual learning.

What is the difference between Machine Learning Ai vs Data Scientist?

AspectMachine Learning AiData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with programming and algorithmsDegree in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDeveloping algorithms, training models, deploying AI systemsAnalyzing data, creating reports, interpreting results
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

Machine Learning Ai focuses on developing and deploying AI algorithms and models, while Data Scientists analyze and interpret data to inform business decisions. Both roles often collaborate but have distinct focuses within the data and AI ecosystem.

What are popular job titles related to Machine Learning Ai jobs in California?

For Machine Learning Ai jobs in California, the most frequently searched job titles are:

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

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

What cities in California are hiring for Machine Learning Ai jobs?

Cities in California with the most Machine Learning Ai job openings:

Machine Learning Ai jobs near you
Infographic showing various Machine Learning Ai job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Staff Machine Learning/AI Engineer

Protingent

Hillsborough, CA • On-site

$247 - $297/hr

Other

Re-posted 25 days ago

Job description

Staff Machine Learning Engineer

Protingent Staffing offers an exciting contract opportunity in San Francisco, CA or NYC, NY.

Job Responsibilities
  • Prototype, develop, and iterate on new product areas for our client, providing customers powerful AI tools for transforming data and reducing emissions.
  • Productionize and launch core technologies to power AI features on top of operational sustainability data.
  • Collaborate with product and other AI engineering teams to set product and technical strategy.
  • Build evaluations, fine‑tune, and create agent harnesses to build reliable AI‑powered systems.
  • Keep up with developments and state-of-the-art in AI to determine relevance.
  • Write performant, well‑crafted, tested, and maintainable code across our technical stack.
Job Qualifications
  • 8+ years of experience in Machine Learning / AI engineering.
  • Experience building products using LLMs, embeddings, and other ML technologies.
  • Full lifecycle experience building, deploying, and monitoring products that leverage LLMs, embeddings, or other ML technologies.
  • Experience leading cross‑functional teams in an innovative fast‑moving environment.
  • A strong foundational understanding of machine learning models and practice, including model evaluation and performance.
  • Strong full‑stack development skills.
Job Details

Job Type: Direct Hire

Location: San Francisco, CA or NYC, NY

Salary Range: $247-297K

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