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Machine Learning Remote Internship Jobs in Poway, CA

Alutiiq

Software Engineer

San Diego, CA · On-site +1

Experience supporting Machine Learning, Computer Vision, or data science workflows. Familiarity ... Ability to work independently in a remote environment while supporting geographically distributed ...

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ... NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information ...

Wsgr

Innovations and AI Solutions Engineer

San Diego, CA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Axos Bank

Lead Enterprise Architect

San Diego, CA · On-site +1

$185K - $225K/yr

Remote or Hybrid in not available. Axos Bank is seeking an experienced Lead Enterprise Architect to ... AI, machine learning, big data, Crypto, IoT, blockchain, and cloud services, to enhance the ...

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 ...

Nearmap

Legal Counsel

Carlsbad, CA · Remote

... machine learning and government entities. You'll play a key role in enabling the business to move ... Ability to collaborate using virtual meeting and communication platforms in a remote-first ...

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 ...

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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 Jul 15, 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 are popular job titles related to Machine Learning Remote Internship jobs in Poway, CA? For Machine Learning Remote Internship jobs in Poway, CA, the most frequently searched job titles 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 July 2026, with employment types broken down into 11% Internship, 51% Full Time, 15% Part Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $43,562 per year, or $20.9 per hour.
Machine Learning Research Scientist (Remote)

Machine Learning Research Scientist (Remote)

GroupSolver

San Diego, CA • Remote

Full-time

Re-posted 21 days ago

Job description

GroupSolver is a market research tech startup based in San Diego with offices in Utah and Kosice, Slovak Republic. Combining AI and Crowd Intelligence, our technology helps decision makers and researchers find insights, which would otherwise remain hidden from traditional online surveys. Our clients include leading companies such as Google, Adidas, General Mills, Discovery, Lenovo, and Amazon.

  • Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.

Basic Qualifications:

  • MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
  • 2+ years of hands-on experience in predictive modeling, ML or large data analysis
  • Algorithm and model development experience for large-scale applications
  • Proficiency in at least one of the following languages: Python, R/Matlab, Java
  • Comfortable working with teams in different time zones, (USA, Europe)
  • Good communication skills, ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

  • Strong understanding of Transformer architecture and Attention mechanisms.
  • 2 years of experience in NLP
  • Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
  • Knows the difference between RNN, CNN, LSTM, GANs.
  • Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.