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Machine Learning Developer Intern Jobs in Pasadena, CA

Capgroup

Senior Machine Learning Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Experience with cloud platforms, CI/CD, DevOps, orMLOpspractices for deploying and monitoring ... machine learning techniques in real-world systems. "I can apply in less than 4 minutes." You've ...

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All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Pasadena, CA

Machine Learning Developer Intern information

See Pasadena, CA salary details

$27.8K

$46.5K

$96K

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

As of Jun 9, 2026, the average yearly pay for machine learning developer intern in Pasadena, CA is $46,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $50,200.00 per year, depending on experience, location, and employer.

How do Machine Learning Developer Interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a Machine Learning Developer Intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer Intern, and why are they important?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Pasadena, CA are hiring for Machine Learning Developer Intern jobs? Cities near Pasadena, CA with the most Machine Learning Developer Intern job openings:
Machine Learning Developer Intern jobs near you
Senior Machine Learning Engineer, Reinforcement Learning - Egofold

Senior Machine Learning Engineer, Reinforcement Learning - Egofold

Snail Games USA

Beverly Hills, CA • On-site, Remote

$150K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

Senior Machine Learning Engineer, Reinforcement Learning - Egofold

About Snail Games USASnail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry.

About EgofoldEgofold is an AI initiative within Snail Games focused on intelligent agents, simulation, and AI-driven workflows for interactive products. It operates with startup-style speed and broad ownership, backed by an established game company, and is currently building practical prototypes while shaping its longer-term direction.

About the RoleWe are looking for a Senior Machine Learning Engineer with strong depth in machine learning and practical experience applying reinforcement learning and related methods to agent behavior and decision systems. This role is focused on the ML core of Egofold: designing experiments, training and improving models, shaping evaluation loops, and helping successful approaches become usable parts of the broader project.

This is not a siloed research role. The best candidates stay engaged through evaluation, iteration, and practical integration, and bring enough adjacent breadth to be effective in a small, collaborative team. We value curiosity, ownership, sound judgment, and respectful, low-ego collaboration.

Job Type: Full-TimeLocation: Hybrid - Los Angeles Area (1-2 in-office meetings per month)

Responsibilities

  • Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches.

  • Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior.

  • Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility.

  • Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity.

  • Work closely with engineers and other partners to help integrate successful ML work into usable product systems.

  • Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve.

Minimum Requirements

  • Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems.

  • Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas.

  • Strong Python skills and experience with modern ML frameworks such as PyTorch.

  • Experience designing experiments, evaluating model behavior, and improving results through systematic iteration.

  • T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning.

  • Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments.

  • Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it.

Nice to Have Any of the following are valuable, but we do not expect depth in every area:

  • Experience with reinforcement learning methods such as PPO, SAC, DQN, actor-critic, or related approaches.

  • Familiarity with simulation environments, multi-agent systems, game AI, or interactive agent behaviors.

  • Familiarity with C++, inference runtimes, or collaborating with engineers who deploy machine learning models into production systems.

  • Exposure to robotics, embodied AI, or embedded / on-device machine learning constraints.

Salary Range: $150,000 - $185,000 Annually

Why Join the Snail Games USA Team?

  • True focus on work/life balance

  • Paid company holidays, vacation, and separate sick leave

  • Medical, dental, vision, and Life/LTD

  • 401k with company match

Work Authorization Requirements

Applicants must be legally authorized to work in the United States at the time of application. This position does not offer visa sponsorship now or in the future (including H-1B).

Additional Information

As part of the Company's activities in video game development, publishing, and short-form video content creation, certain projects, discussions, or creative materials may include themes, visuals, language, or subject matter that some individuals could find mature, violent, sexual, graphic, or otherwise sensitive in nature (collectively referred to as "Mature Content"). Examples may include, but are not limited to, depictions or descriptions of combat, violence, adult themes or relationships, suggestive or satirical humor, or strong language. Employees are expected to engage with such material in a professional and creative context as part of their job duties.

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