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Machine Learning Phd Research Jobs (NOW HIRING)

Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD ... Conduct research and develop ML models to identify patterns in noisy, non-stationary data * Work ...

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How much do machine learning phd research jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning phd research in the United States is $99,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $115,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Machine Learning Phd Research job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $99,840 per year, or $48 per hour.

Graduate/PhD Research Intern, Machine Learning

Seattle, WA โ€ข On-site

$6.0K - $7.0K/mo

Full-time

Re-posted 29 days ago


Job description

The Role

Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team. You will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation.

Responsibilities

  • Conduct independent research to design and train novel machine learning architectures.

  • Analyze massive datasets derived from flight telemetry and satellite sensors.

  • Prototyping and testing algorithms in simulated aerospace environments.

  • Publish internal papers and present findings to the core engineering team.

Requirements

  • Currently pursuing a Master's or Ph.D. in Computer Science, Aerospace Engineering, Mathematics, or a related field.

  • Strong theoretical understanding of deep learning, computer vision, or reinforcement learning.

  • Proficiency in Python and standard ML frameworks (PyTorch, TensorFlow, or JAX).

  • Ability to work on-site in Seattle for the duration of the internship.