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Machine Learning Developer Intern Jobs in Pasadena, CA

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent ...

Crowe LLP

Machine Learning Engineer

Los Angeles, CA

$62K - $100K/yr

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Match Group

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in building deep learning solutions for computer vision problems * Proficient with at least one major ...

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Showing results 21-40

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 Aug 20, 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.

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?

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.

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 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

Machine Learning Engineer

Ascent Developer Solutions

Los Angeles, CA • On-site

$123K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 16 days ago

Job description

About Ascent
Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies.
ROLE SUMMARY
The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities.
ESSENTIAL DUTIES
Data and analysis
  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities.
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment.
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities.
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights.
  • Assist in fostering a culture of test & learn within the company.

Leadership
  • Serve as analytics consultant to a broad variety of line-of-business teams.
  • Partner with technology teams on product changes and impacts on data/performance.
  • Mentor junior analysts on various data science techniques.

QUALIFICATIONS
  • Bachelor's degree in quantitative field.
  • 5-7 years of experience in analytical or consulting roles.
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's.
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments.
  • Must have deployed several models to production.
  • Exposure to data engineering skills.
  • Strong communication and partnership skills, effective cross-department collaboration skills.
  • Self-starter who can work under limited supervision.
  • Mentoring skills to help develop junior analysts.

WORK ENVIRONMENT
  • This role works on-site from Ascent's Encino office 2 days per week

THE PAY
Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year.
Our Benefits
We offer a comprehensive benefits package designed to support your health, well-being, and work-life balance. Our benefits include five health plans, two dental plans, health savings and flexible spending accounts, vision coverage, a 401(k) plan, and other optional benefits from which to choose.
Our Pledge
We pledge to be fair and considerate in hiring and promoting individuals, ensuring everyone can contribute their fullest potential regardless of background, identity, or personal circumstances. By promoting equal opportunity, we not only enhance our workplace but also contribute to a more just and equitable society. At Ascent, we stand united in building a community where everyone is empowered to succeed. Thank you for joining us on our journey towards a more inclusive future.

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