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Machine Learning Engineer Intern Jobs in Mountain View, CA

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

Sunnyvale, CA · On-site

$150.40 - $277.60/hr

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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 ...

New

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Machine Learning Engineer

Cupertino, CA · On-site

$150K - $225K/yr

As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered features and workflows leveraging LLMs and modern AI techniques. You will collaborate closely with ...

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Showing results 41-60

Machine Learning Engineer Intern information

See Mountain View, CA salary details

$29.9K

$49.9K

$103K

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

As of Aug 8, 2026, the average yearly pay for machine learning engineer intern in Mountain View, CA is $49,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,100.00 and $53,900.00 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 Mountain View, CA? The most popular types of Machine Learning Engineer jobs in Mountain View, CA are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Mountain View, CA? For Machine Learning Engineer Intern jobs in Mountain View, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Intern jobs in Mountain View, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Mountain View, CA are:
What cities near Mountain View, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Mountain View, CA with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Mountain View, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $49,862 per year, or $24 per hour.

Machine Learning Engineer

Eve

San Mateo, CA

Full-time

Re-posted 19 days ago


Job description

About the Role:

AI at Eve isn't a feature - it's the foundation. 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 through resolution - we need engineers who can push our models and agent systems to be faster, smarter, and more reliable.

You'll own the full stack of applied ML - from data curation to evaluation and production deployment - building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. Working closely with product and legal experts, you'll ship fast, drive projects end-to-end, and help shape both the platform and the future of legal AI.


What You'll Do:

You'll build and improve ML systems that operate in real-world conditions, where reliability, accuracy, and domain nuance matter. At Eve, you will:

  • Build AI systems that understand, analyze, and reason across complex legal tasks and queries
  • Elevate AI Reasoning: Architect and refine the reasoning capabilities of our models to drive complex, high-stakes decision-making within the legal domain
  • Treat model quality as a first-class ML optimization problem, using real usage data to make our systems more reliable, adaptable, and resilient
  • Build rigorous evaluation frameworks that measure AI performance and ensure meaningful, trustworthy outcomes in a high-stakes legal context
  • Collaborate Cross-Functionally: Work closely with product engineers to integrate models into user-facing features, and partner with legal professionals to translate domain expertise into technical requirements.

What We're Looking For:

You're a product-minded Machine Learning Engineer who enjoys building real systems people depend on. You'll likely have:

  • 4+ years of engineering experience, with a focus on applied ML/AI products
  • Proven track record of shipping ML systems in production, with real users and high uptime
  • Experience developing advanced AI systems, particularly those that deconstruct complex tasks into manageable steps
  • Strong analytical sense: you build frameworks to measure the metrics that matter and iterate quickly from real usage
  • Ownership mindset: you drive projects end-to-end and thrive on problems that don't have clean answers yet
  • Enjoy following SOTA research into new models and agent architectures