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Python Research Machine Learning Jobs (NOW HIRING)

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Python • Values scientific rigour, reproducibility, and high quality software • Passionate ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research ... Python • Values scientific rigour, reproducibility, and high quality software • Passionate ...

Apple Inc.

$250/hr

Deep fluency in Java or Python. * Experience with Spark, Hadoop or other distributed frameworks. * Masters in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting ...

Teladoc

Senior Machine Learning Scientist

Concord, NC · On-site +1

... research, machine learning, information systems, engineering, or a related field * Demonstrated depth of experience developing clean, robust, and reusable production-quality code using Python, Spark ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K/yr

... Python or C++ for research and systems development in machine learning contexts * Experience conducting experiments to validate research hypotheses and communicating findings through written papers ...

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP ... Python, R/Matlab, Java • Comfortable working with teams in different time zones, (USA, Europe ...

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How much do python research machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python research machine learning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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Infographic showing various Python Research Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Quantitative Researcher - Machine Learning

New York, NY • On-site

Point72
Finance and Insurance • 501 - 1,000 employees
Learn more about Point72external

Full-time

Re-posted 3 days ago

Job description

JOB RESPONSIBILITIES:
A highly collaborative, fast-growing team at Internal Alpha Capture (IAC), Point72 is developing AI-driven equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, proprietary data sources, and unparalleled computing power.
We are looking for exceptional machine learning researchers to join our efforts. Researchers will work closely with our experienced team members and apply the full breadth of their machine learning knowledge to unique, proprietary datasets, and develop novel trading signals that have high impact. Prior experience in the financial industry is not required.
Key responsibilities may include:
  • Managing all aspects of the research process, including ideation, method selection, implementation, evaluation, and eventual application.
  • Identifying, adapting, and extending existing models in the broad field of machine learning; conducting novel research as needed, to develop new signals that can enhance portfolio returns, or predict other variables of interests.
  • Staying up to date on the advances in AI/ML and related technological innovations to provide recommendations on new models and tools and identify emerging opportunities.

DESIRABLE CANDIDATES:
  • Master's or PhD in machine learning, computer science, statistics, or related fields.
  • Knowledge and experience in any of the following areas are strongly preferred: modern sequence models, graph neutral nets, reinforcement learning, LLMs.
  • Prior research experience utilizing machine learning over large, possibly noisy, data sets.
  • Strong analytical and quantitative skills, and a detail-oriented mindset.
  • Strong proficiency in machine learning libraries such as Torch, JAX or TensorFlow.
  • Competence in Python, cluster environment, and general software engineering principles (source control, testing, collaborative workflow).
  • Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.
  • Commitment to the highest ethical standards.

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