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Part Time Machine Learning Scientist Jobs in California

Data Scientist, Mid

San Diego, CA · On-site +1

$61K - $141K/yr

Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Monterey, CA · On-site

$77K - $176K/yr

Experience with Machine Learning, Artificial Intelligence, or Natural Language Processing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Machine Learning Scientist information

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Infographic showing various Part Time Machine Learning Scientist job openings in California 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.

Machine Learning Research Scientist

GroupSolver

San Diego, CA

Part-time

Re-posted 15 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