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Machine Learning Research Scientist Jobs in Seattle, WA

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

$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

Ai2

Research Scientist, Asta

Seattle, WA · On-site

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

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 ...

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 ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$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 ...

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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 Aug 10, 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 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 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 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 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, 73% Full Time, 22% Part Time, 1% Temporary, and 3% 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.

AI Research Scientist, Robotics

Meta

Redmond, WA

$219K/yr

Full-time

Re-posted 2 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 242 rated software companies

Job description

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We’re seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics Responsibilities:
  • Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
  • Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
  • Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
  • Develop algorithms based on state-of-the-art machine learning and neural network methodologies
  • Define, build and benchmark new functionality needed for the next generation of AI
  • Conduct research towards long-term product goals while identifying intermediate milestones
  • Lead, plan, and execute novel research based on long-term objectives of the organization

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
  • Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models
  • 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
  • 7+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience building systems based on machine learning and/or deep learning methods
  • Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Experience working with robot simulations and real-world hardware
  • Experience working and communicating cross functionally in a team environment

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$219,000/year to $301,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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