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Machine Learning Developer Intern Jobs in Pasadena, CA

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis. Responsibilities : • ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

Experience with Linux, DevOps (command line) * Experience with containerized infrastructure (Docker ... Bachelor degree with 4+ years experience as a machine learning engineer * AND 2+ years of Python ...

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 ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA · On-site

$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 ...

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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 Jul 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

Machine Learning Engineer

V-Work Infotech Solutions INC

Cerritos, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary

We are seeking an experienced Machine Learning Engineer with 10+ years of software engineering or data engineering experience and strong expertise in designing, developing, deploying, and scaling machine learning solutions. The ideal candidate should have hands-on experience with Python, deep learning frameworks, MLOps, cloud platforms, data engineering, and Generative AI technologies.

The candidate will work closely with Data Scientists, AI Engineers, Data Engineers, and business stakeholders to build production-ready ML models and AI-powered applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for production environments.
  • Develop predictive analytics, classification, regression, recommendation, and NLP models.
  • Build end-to-end ML pipelines for data ingestion, feature engineering, training, deployment, and monitoring.
  • Collaborate with Data Engineering teams to build scalable ML workflows.
  • Deploy ML models using Docker, Kubernetes, and cloud platforms.
  • Optimize model performance, scalability, and inference latency.
  • Implement CI/CD pipelines for machine learning (MLOps).
  • Work with structured and unstructured data from multiple sources.
  • Develop APIs for model serving and integration.
  • Monitor model drift, accuracy, and production performance.
  • Document technical designs and collaborate with cross-functional teams.

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