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Machine Learning Research Scientist Jobs in Seattle, WA

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

MindSource

Research Scientist

Seattle, WA · Remote

Research Scientist Location: Seattle, WA (Remote) Duration: 12 months contract with possible of ... Publication(s) in the fields of artificial intelligence, machine learning or data science.

MindSource

Research Scientist

Seattle, WA · On-site

MindSource is looking for a Research Scientist to design and implement processes for evaluating and ... machine learning and data science algorithms and tools (e.g., PyTorch). • Ability to produce ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K/yr

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Axon

AI Research Scientist II

Seattle, WA · On-site

Your Impact We are seeking a skilled and innovative applied Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site +1

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... You will advance the state-of-the-art in machine learning and multimodal technology and apply your ...

Axon

AI Research Scientist II

Seattle, WA · On-site

Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI ... Science or a related field with a focus on computer vision, machine learning, artificial ...

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

The Research Scientist will drive the development of AI systems with deep reasoning capabilities ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

Amazon

Research Scientist III - AMZ10061595

Seattle, WA · On-site

$164K - $215K/yr

Research Scientist III Job Location: Seattle, Washington Job Number: AMZ10061595 Position ... Develop and apply state of the art machine learning methods to large, multi source datasets to ...

Ai2

Research Scientist, Agents for Science

Seattle, WA · On-site

They are seeking a Research Scientist to drive the development of AI systems with deep reasoning ... Required : • A PhD focusing on machine learning, reasoning, natural language processing, or a ...

Waymo

Senior Research Scientist, Perception

Kirkland, WA · On-site +1

$112K - $142K/yr

Senior Research Scientist, Perception Waymo is an autonomous driving technology company with the ... The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing ...

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Showing results 21-40

All JobsMachine Learning Research Scientist JobsMachine Learning Research Scientist Jobs in Seattle, WA

Machine Learning Research Scientist information

See Seattle, WA salary details

$57.5K

$148.1K

$198K

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

As of Sep 2, 2026, the average yearly pay for machine learning research scientist in Seattle, WA is $148,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a machine learning research scientist?

A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.

What does a machine learning research scientist do?

As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.

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

To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.

What are popular job titles related to Machine Learning Research Scientist jobs in Seattle, WA?

For Machine Learning Research Scientist jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Scientist jobs in Seattle, WA look for?

The top searched job categories for Machine Learning Research Scientist jobs in Seattle, WA are:

Machine Learning Research Scientist jobs near you
Infographic showing various Machine Learning Research Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $148,076 per year, or $71.2 per hour.

Research Scientist

MindSource

Seattle, WA • Remote

Contractor

Re-posted 26 days ago

Job description

Job Title: Research Scientist
Location: Seattle, WA (Remote)
Duration: 12 months contract with possible of extension

Description
This role is for a Research Scientist who will be responsible for designing and implementing robust processes to evaluate and improve LLM-based models. More specifically, they will work on ensuring that we build models that will accelerate the developer work cycle and improve how software is built.

This researcher will:
Work closely with engineers, PMs, designers, and data scientists to align on research goals and build scalable end-to-end evaluation pipelines.
Report on their research and make recommendations to stakeholders.
Work autonomously and mentor other researchers to support the goals of the research organization.

Minimum Qualifications
4+ years of experience in an applied research setting, or similar.
Proven experience developing benchmarks and metrics to evaluate AI models, preferably with a focus on code generation or natural language processing (NLP).
Familiarity with software engineering principles (unit tests, CI/CD, version control etc.).
Strong programming skills in 1 or more programming languages (including Python).
2 years or more of experience with machine learning and data science algorithms and tools (e.g., PyTorch).
Ability to produce meaningful visualizations and reports, and effectively present results to different audiences and across multiple media formats.
Ability to work independently as well as collaboratively with minimal direction.
Organized, highly attentive to detail, and manages time well.
Experience working in industry.

Preferred Qualifications
Advanced degree (MS/PhD) in data analytics, statistics, or any engineering or computer science field.
Experience with large language models (LLMs) and knowledge of state-of-the-art code generation techniques.
Publication(s) in the fields of artificial intelligence, machine learning or data science.
Familiarity with code generation-specific benchmarks and metrics.
Ability to modify or fine-tune pre-trained models for specialized tasks.
Familiarity with code scanning tools.

Mindsource logo

About Mindsource

Sourced by ZipRecruiter

Beginning with a 100 square foot office in Mountain View, Dave Clark and his entrepreneurial partners built a thriving business in four months with their unique technical knowledge and high-touch approach. Our management team immersed themselves in the intricacies of the most technically challenging and sophisticated technical endeavors, requiring the best and brightest minds. Two decades later, we have used our technical savvy to grow our consultancy and to provide top-tier talent in the areas of mobile development, front-end development, and quality assurance. We provide our consultants with engineering job opportunities, QA analyst jobs, IT job opportunities, and many other rewarding careers with Silicon Valley’s top employers. At every step, we made good on our promise to deliver satisfaction, and because of this emerged as the leader in our field. The MindSource staff is a close-knit family of employees; many have been with the company for over a decade. We are motivated by generating and maintaining long-term relationships with both colleagues and clients as we have done for over 20 years. We value working with the best, and continue to do so, over and over again.

Company size

51 - 200 Employees

Headquarters location

Mountain View, CA, US

Year founded

1994

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