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Part Time Machine Learning Research Scientist Jobs

New York University

Research Scholar

New York, NY · On-site

$27.77/hr

Description PART TIME RESEARCH SCHOLAR New York University Tandon School of Engineering Quantum ... Responsibilities include coding and running machine learning experiments, analyzing and ...

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Part Time Machine Learning Research Scientist information

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$50.5K

$130.1K

$174K

How much do part time machine learning research scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for part time machine learning research scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a part time machine learning research scientist do?

A Part Time Machine Learning Research Scientist conducts research and development in the field of machine learning while working less than full-time hours. Their responsibilities typically include designing experiments, analyzing data, developing new algorithms, and collaborating with other researchers or engineers. They often work on specific projects or problems, contributing their expertise in machine learning to advance knowledge or improve products. This role allows for flexible scheduling, making it suitable for students, professionals with other commitments, or those seeking a better work-life balance.

What are the key skills and qualifications needed to thrive as a part time machine learning research scientist?

To thrive as a Part Time Machine Learning Research Scientist, you typically need strong skills in mathematics, statistics, and programming (especially Python), as well as an advanced degree in a relevant field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, experience with version control systems, and knowledge of data preprocessing tools are essential. Critical thinking, effective communication, and time management are important soft skills for succeeding in a flexible, research-driven environment. These abilities enable you to develop innovative models, collaborate efficiently, and contribute meaningful insights while balancing part-time responsibilities.

How does working part-time as a machine learning research scientist impact collaboration and project involvement?

As a part-time Machine Learning Research Scientist, you’ll typically coordinate closely with full-time team members to ensure smooth project handoffs and clear communication. While you may have a more flexible schedule, regular check-ins and collaborative meetings are essential to stay aligned with research goals and ongoing experiments. You may focus on specific research components or model development tasks that fit within your available hours, and it’s common to leverage digital tools for asynchronous collaboration. This structure allows you to contribute meaningfully while balancing other commitments, but staying proactive about updates and documentation is key to effective teamwork.

What cities are hiring for Part Time Machine Learning Research Scientist jobs?

Cities with the most Part Time Machine Learning Research Scientist job openings:

What are the most commonly searched types of Machine Learning Research Scientist jobs?

The most popular types of Machine Learning Research Scientist jobs are:

Part Time Machine Learning Research Scientist jobs near you
Infographic showing various Part Time Machine Learning Research Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Machine Learning Research Scientist

GroupSolver

San Diego, CA • On-site, Remote

Part-time

Re-posted 2 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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