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Part Time Full Stack Machine Learning Engineer Jobs in San Diego, CA

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Part Time Full Stack Machine Learning Engineer information

See San Diego, CA salary details

$47.2K

$143.1K

$202.3K

How much do part time full stack machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time full stack machine learning engineer in San Diego, CA is $143,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Full Stack Machine Learning Engineer vs Part Time Data Scientist?

AspectPart Time Full Stack Machine Learning EngineerPart Time Data Scientist
CredentialsTypically requires machine learning, software engineering, and programming skillsRequires statistics, data analysis, and programming skills
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights
Industry UsageUsed in tech, finance, healthcare for deploying intelligent systemsUsed across industries for data analysis and reporting

While both roles involve data and programming, the Part Time Full Stack Machine Learning Engineer focuses on building and deploying machine learning models within full-stack applications, whereas the Part Time Data Scientist primarily analyzes data to generate insights. The former requires more software engineering skills, while the latter emphasizes statistical analysis.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in San Diego, CA?

The most popular types of Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What are popular job titles related to Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA?

For Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA look for?

The top searched job categories for Part Time Full Stack Machine Learning Engineer jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Part Time Full Stack Machine Learning Engineer jobs?

Cities near San Diego, CA with the most Part Time Full Stack Machine Learning Engineer job openings:

Part Time Full Stack Machine Learning Engineer jobs near you
Infographic showing various Part Time Full Stack Machine Learning Engineer job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $143,087 per year, or $68.8 per hour.

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 27 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.
Employment Type: PART_TIME

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