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Machine Learning Research Intern Jobs in Bellevue, WA

Apple

AIML - Machine Learning Research

Seattle, WA

$142K - $263K/yr

As part of this group, you will be doing large scale machine learning and deep learning research and development to improve Open Domain Question Answering (using both structured knowledge graph data ...

Apple Inc.

Machine Learning Engineer

Seattle, WA · On-site

$175 - $308.50/hr

Seattle, Washington, United States Machine Learning and AI Our team delivers algorithms that power ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

Description We are seeking a machine learning research engineer with experience building modern ... generative models based on diffusion and auto-regressive technologies. The ideal candidate has ...

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All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Bellevue, WA

Machine Learning Research Intern information

See Bellevue, WA salary details

$28.8K

$48.1K

$99.3K

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

As of Aug 11, 2026, the average yearly pay for machine learning research intern in Bellevue, WA is $48,061.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,700.00 and $51,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $48,061 per year, or $23.1 per hour.

Graduate/PhD Research Intern, Machine Learning

Constellation Space

Seattle, WA • On-site

$6.0K - $7.0K/mo

Full-time

Re-posted 8 hours 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.