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Machine Learning Remote Internship Jobs in Poway, CA

Waymo

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... Strong grasp of Machine Learning fundamentals and applied statistical concepts * Solid written and ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0246048 Location: San Diego,CA,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Sony Electronics

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

... machine learning and AI to surface system health and usage trends. * Building User Interfaces: Design and code intuitive web portals and dashboards for enterprise management applications. Internship ...

Sony

Software Engineer Intern

San Diego, CA · On-site +1

$24.20 - $38.50/hr

... machine learning and AI to surface system health and usage trends. * Building User Interfaces: Design and code intuitive web portals and dashboards for enterprise management applications. Internship ...

Veracyte

Technical Product Manager

San Diego, CA · Remote

$148K - $160K/yr

... remote (US). Key Responsibilities : Product Ownership & Strategy * Own and manage the product ... Experience leveraging AI, machine learning, or rules‑based automation to improve billing accuracy ...

HealthCorps

Monitoring & Evaluation Intern

San Diego, CA · Remote

... learning. Through our Teens Make Health Happen program, we empower teens by encouraging them to ... This internship provides an excellent opportunity for undergraduate or graduate students looking to ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Poway, CA

Machine Learning Remote Internship information

See Poway, CA salary details

$26.1K

$43.6K

$90K

How much do machine learning remote internship jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning remote internship in Poway, CA is $43,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,100.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What job categories do people searching Machine Learning Remote Internship jobs in Poway, CA look for? The top searched job categories for Machine Learning Remote Internship jobs in Poway, CA are:
What cities near Poway, CA are hiring for Machine Learning Remote Internship jobs? Cities near Poway, CA with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Poway, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $43,562 per year, or $20.9 per hour.

Senior System Test Engineer, Perception

Waymo

San Diego, CA • On-site, Remote

$110K - $151K/yr

Full-time

Re-posted 27 days ago

Job description

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.

This role follows a hybrid work schedule and reports to the Technical Lead Manager, Perception Test Engineering.

You will:

  • Develop test strategies and new methodologies to support rapid scaling and rare, but critical, edge cases 
  • Design and implement metrics, test plans, and simulated scenarios  for testing the autonomous vehicle in off-nominal situations, such as after a fault occurs or when remote assistance is needed, across multiple platforms and in support of rapid commercialization
  • Write reusable, high quality, software for analyzing simulation test results and be an enabler and advocate for automation at scale
  • Lead cross-functionally to unblock development of scalable multi-platform testing, working with partner teams who develop the simulator or code running onboard the AV
  • Use your knowledge of autonomous vehicles, engineering and test strategy development to review and provide feedback on system requirements and feature validation plans

You have:

  • An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field OR equivalent practical experience involving perception or robotic systems
  • Experience with software development for robotics OR experience with software verification and validation for software running on robotic, safety critical or high reliability systems 
  • Strong grasp of Machine Learning fundamentals and applied statistical concepts
  • Solid written and verbal communication and experience contributing to projects spanning across multiple disciplines
  • Experience in data analysis/modeling or software engineering using Python and SQL, knowledge of C++ preferred

We prefer:

  • 8+ years of Engineering experience (graduate school and industry experience both count)
  • Experience in autonomous vehicles, robotics, assisted driving technology, or other safety critical or high reliability system
  • Experience leading cross-team initiatives, including coordinating with external vendors or partners to deliver high-impact solutions

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