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Machine Learning Engineer Intern Jobs in Fairfield, CA

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...

The Role We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable ...

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...

Machine Learning Engineer @ Clay Clay's ambition is to build a self-learning revenue engine : a product that gets smarter every time someone uses it. This means data, ML, and AI are at the heart of ...

As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won't just train models in isolation; you will build end-to-end pipelines ...

About the role We're looking for Machine Learning Engineers to help build our platform for training, evaluating, and deploying interpretable AI systems at scale. You'll play a central role in ...

About the Role As a Machine Learning Engineer on the AI Platform team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to ...

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications. This role combines ...

Showing results 21-40

Machine Learning Engineer Intern information

See Fairfield, CA salary details

$26K

$43.3K

$89.6K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer intern in Fairfield, CA is $43,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 per year, depending on experience, location, and employer.

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 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 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 Fairfield, CA?

The most popular types of Machine Learning Engineer jobs in Fairfield, CA are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Fairfield, CA?

For Machine Learning Engineer Intern jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Intern jobs in Fairfield, CA look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Fairfield, CA with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Fairfield, 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 $43,337 per year, or $20.8 per hour.

Machine Learning Engineer

Superhuman

San Francisco, CA • On-site

$180 - $260/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in‑person collaboration that helps foster trust, innovation, and a strong team culture.

About Superhuman

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here.

The Opportunity

We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the heart of our company’s transformation.

  • Shape the Future of Productivity: Play a pivotal role in evolving Grammarly from a beloved writing assistant into an indispensable, AI‑native productivity suite for enterprises.

  • Build a Groundbreaking AI Agent Platform: Spearhead the development of a new platform where multiple AI agents collaborate to solve complex user problems. You will be responsible for the core orchestration, routing, and planning systems.

  • Own Critical ML Systems: Develop and deploy sophisticated ML models for core product experiences, including search ranking and proactive suggestions that anticipate user needs.

  • Integrate Cutting‑Edge AI: Work at the forefront of the AI landscape, building ML components that integrate with the latest and most powerful models to create magical user experiences.

  • Thrive in a High‑Impact Environment: Join a foundational team where you will operate with a high degree of autonomy and product sense in a fast‑paced, ambiguous environment.

  • Ship Your Work Fast: Move quickly from idea to impact. We have no red tape or endless approvals—just a focus on making meaningful contributions to a platform used by millions.

Qualifications
  • MS / PhD in Computer Science.

  • 5+ years of industry experience as a machine learning engineer or applied research scientist.

  • A deep understanding of modern algorithms and approaches to ML, NLP, and LLMs.

  • Experience building LLM‑based products.

  • A deep care about the end‑user experience and strives to ensure high quality.

  • Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross‑functional teams, and thrives in fast‑paced, results‑driven environments.

Compensation and Benefits

Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:

  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)

  • Disability and life insurance options

  • 401(k) and RRSP matching

  • Paid parental leave

  • 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time

  • Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)

  • Annual professional development budget and opportunities

Superhuman takes a market‑based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E‑Verify program (US). We also abide by the Employment Equity Act (Canada).

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