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Part Time Machine Learning Researcher Jobs (NOW HIRING)

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 ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215 ...

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... Have training in statistical signal processing, machine learning * Be capabile to apply various ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to ...

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Part Time Machine Learning Researcher information

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$30K

$113.1K

$164.5K

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

As of Jun 22, 2026, the average yearly pay for part time machine learning researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Machine Learning Researcher, and why are they important?

To thrive as a Part Time Machine Learning Researcher, you need a solid background in mathematics, statistics, and programming, often demonstrated through academic coursework or relevant research experience. Familiarity with programming languages like Python or R, machine learning libraries (e.g., TensorFlow, PyTorch), and version control systems such as Git is typically required. Strong analytical thinking, curiosity, and effective communication skills help in interpreting data and collaborating with research teams. These competencies enable researchers to design, implement, and present innovative solutions to complex problems in machine learning.

What does a Part Time Machine Learning Researcher do?

A Part Time Machine Learning Researcher typically works on developing, testing, and improving machine learning models and algorithms, often as part of a research team or academic project. Their responsibilities may include data analysis, implementing machine learning techniques, conducting literature reviews, and contributing to research publications or presentations. Since the role is part-time, they usually work flexible hours and may balance these duties with other commitments such as studies or a different job. The position is ideal for students, professionals seeking experience, or those who wish to contribute to research while managing other responsibilities.

What is the difference between Part Time Machine Learning Researcher vs Data Scientist?

AspectPart Time Machine Learning ResearcherData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fieldsOften requires a bachelor's or master's in data science, statistics, or related areas
Work EnvironmentResearch-focused, often in academic or R&D settings, with emphasis on developing new algorithmsBusiness-focused, working with large datasets to generate insights and support decision-making
Industry UsageCommon in research institutions, universities, and R&D departmentsWidely used across industries like finance, healthcare, tech, and marketing

While both roles involve working with machine learning, a Part Time Machine Learning Researcher primarily focuses on developing new algorithms and research, often in academic or research settings. In contrast, a Data Scientist applies machine learning techniques to analyze data and solve business problems. The roles share similar credentials but differ in work environment and industry application.

How do part-time machine learning researchers typically balance independent work with collaboration within their research teams?

Part-time machine learning researchers often have flexible schedules, which means they need to be proactive in communicating with their teams and managing project timelines. While much of the research work can be done independently—such as data analysis, model development, and literature review—regular meetings and updates are essential to stay aligned with the team's goals. Many teams use collaborative platforms and version control systems to facilitate seamless contributions from part-time members. Clear documentation and open communication help ensure that part-time researchers can effectively integrate their work with the broader project and contribute meaningfully despite reduced hours.
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Part Time Machine Learning Researcher jobs near you
Machine Learning Research Scientist

Machine Learning Research Scientist

GroupSolver

San Diego, CA

Part-time

Posted 4 hours 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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