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Machine Learning Engineer Intern Jobs in California

LeanData

Machine Learning Engineer

Santa Clara, CA

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122K - $184K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

Machine Learning Engineer Machina Labs is changing the way manufacturing works. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By ...

Pattern AI

Machine Learning Engineer

San Mateo, CA

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Adobe, Inc.

Machine Learning Engineer

San Jose, CA · On-site

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in California

Machine Learning Engineer Intern information

See California salary details

$25.2K

$42K

$86.8K

How much do machine learning engineer intern jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer intern in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in California? The most popular types of Machine Learning Engineer jobs in California are:
What are popular job titles related to Machine Learning Engineer Intern jobs in California? For Machine Learning Engineer Intern jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in California look for? The top searched job categories for Machine Learning Engineer Intern jobs in California are:
What cities in California are hiring for Machine Learning Engineer Intern jobs? Cities in California with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in California as of May 2026, with employment types broken down into 6% Internship, 67% Full Time, 21% Part Time, and 6% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

LeanData

Santa Clara, CA

Other

Retirement, PTO

Posted 26 days ago

Job description

Machine Learning Engineer

LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue.

We are looking for a curious and innovative Machine Learning Engineer to explore, experiment and build AI driven solutions that analyze customer journey and go to market data. The ideal candidate will have a passion for experimenting with various AI libraries and tools, making recommendations, and collaborating with cross-functional teams to develop a product that uncovers insights tied to our customers' success.

Role

This role is based at our Santa Clara, CA office. An ML Engineer is required to be in office Mondays and Wednesdays each week. Lunch will be provided on those days.

What You'll Be Doing
  • Research, prototype and experiment with a variety of AI/ML libraries, frameworks, and tools to identify the best approaches for analyzing go to market data
  • Analyze findings from experiments and provide clear, actionable recommendations on optimal AI/ML methodologies and technologies
  • Collaborate with product and engineering teams to design, develop and deploy a scalable AI-powered product that delivers insights into a go-to-market strategies and their impact on success
  • Build, evaluate, and optimize machine learning models to ensure high performance, accuracy, and scalability
  • Stay updated on emerging AI/ML trends, tools, and techniques that can be used incorporated into the product
Requirements
  • Strong ability to experiment with and explore diverse AI/ML libraries and tools
  • 6+ years of experience in machine learning with hands on experience building and deploying ML models
  • Comfortable working with Python or similar programming languages for data analysis and model development.
  • Ability to analyze complex datasets, identify patterns, and translate findings into business-relevant insights.
  • Experience leading and mentoring a team of junior engineers while providing technical guidance and fostering a collaborative environment.
  • Collaborative mindset with experience working in cross-functional teams.
  • Master's degree in Machine Learning or Computer Science (heavily focused on Machine Learning/Artificial Intelligence)
  • Desire to learn
  • Experience building and maintaining robust data and machine learning pipelines, including preprocessing, model training, and deployment workflows.
Bonus Points If You Have
  • Familiarity with natural language processing (NLP)
  • Prior experience contributing to the development of a customer-facing AI product
  • Familiarity with data processing tools and AWS is a plus.
  • Excellent verbal and written communication skills to present findings and recommendations to technical and non-technical stakeholders.
Why Work At LeanData
  • LeanData covers employee insurance premiums up to 90%
  • Stock options in LeanData for all full-time employees
  • Flexible PTO
  • 401K plan

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