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Machine Learning Engineer Intern Jobs in Hayward, CA

They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product ...

We're hiring an Machine Learning Engineer as the volume and complexity of legal AI workflows in our system scale rapidly. As more firms rely on Eve to automate high-stakes legal work - from intake ...

Machine Learning Engineer

San Francisco, CA · On-site +1

  • Medical

  • Retirement

  • PTO

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

We are looking for a Machine Learning Engineer to join and play a big part in the next revolution of Maps; to enable users to find more things in innovative ways. On our team, you will have plenty of ...

The Machine Learning Engineer will design and develop scalable training pipelines for multimodal AI systems, collaborate with data engineering and research teams, and influence core decisions around ...

Machine Learning Engineer

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

  • Medical

  • Dental

  • Retirement

Description 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 ...

Machine Learning Engineer

Pleasanton, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...

New

Machine Learning Engineer

Sunnyvale, CA

$150K - $277K/yr

  • Medical

  • Dental

  • Retirement

Description 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 ...

Machine Learning Engineer

Sunnyvale, CA

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

Description 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 ...

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 ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Machine Learning Engineer

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to ...

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 ...

Machine Learning Engineer

San Francisco, CA · On-site

$151.30 - $178/hr

As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof ...

Showing results 41-60

Machine Learning Engineer Intern information

See Hayward, CA salary details

$29.2K

$48.8K

$100.9K

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

As of Aug 13, 2026, the average yearly pay for machine learning engineer intern in Hayward, CA is $48,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,300.00 and $52,700.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

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?

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 skills and qualifications are needed to thrive as a machine learning engineer intern?

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 Hayward, CA? The most popular types of Machine Learning Engineer jobs in Hayward, CA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Hayward, CA? For Machine Learning Engineer Intern jobs in Hayward, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Hayward, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hayward, CA are:
What cities near Hayward, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Hayward, CA with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Hayward, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,822 per year, or $23.5 per hour.

Machine Learning Engineer

Goodfire

San Francisco, CA • On-site

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Goodfire is a research company focused on building safe and powerful AI systems. They are seeking a Machine Learning Engineer to contribute to the development of tools and infrastructure for interpretable AI systems, playing a key role in transforming research into usable product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.