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Machine Learning Research Engineer Jobs in Seattle, WA

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title ... Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer

Seattle, WA · On-site

$95 - $135/hr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

They are seeking a Research Engineer for the Asta Project, which aims to advance scientific discovery through AI tools and infrastructure, requiring expertise in machine learning and collaborative ...

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based model architecture and large foundational models to identify solutions for Robinhood specific ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

AI and ML Research : Evaluate cutting technologies, including but not limited to, transformer-based model architecture and large foundational models to identify solutions for Robinhood specific ...

Machine Learning Engineer

Bellevue, WA · On-site

$161.14 - $200/hr

What you'll do As a Machine Learning Engineer on the AI Research and Development team, the primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous ...

... machine learning or language models for agentic workflows. • Bridging the gap between cutting-edge research and a widely adopted product. • Bringing software engineering best practices to a ...

Research and implement appropriate ML algorithms and tools * Develop machine learning applications ... Engineer or a similar role * Strong experience with Deep Learning * Understanding of data ...

Research and implement appropriate ML algorithms and tools * Develop machine learning applications ... Engineer or a similar role * Strong experience with Deep Learning * Understanding of data ...

... machine learning or language models for agentic workflows. • Bridging the gap between cutting-edge research and a widely adopted product. • Bringing software engineering best practices to a ...

Showing results 21-40

Machine Learning Research Engineer information

See Seattle, WA salary details

$42.1K

$120.6K

$162.2K

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

As of Aug 22, 2026, the average yearly pay for machine learning research engineer in Seattle, WA is $120,645.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $118,400.00 per year, depending on experience, location, and employer.

What does a machine learning research engineer do?

A Machine Learning Research Engineer develops and improves machine learning models, conducts research to advance AI techniques, and implements scalable algorithms. They work at the intersection of applied research and engineering, leveraging mathematical and statistical methods to optimize performance. Their role involves experimenting with new architectures, analyzing large datasets, and collaborating with data scientists and software engineers to deploy models into production.

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

A Machine Learning Research Engineer typically needs a strong background in computer science, mathematics, and statistics, often with a graduate degree in a related field. Proficiency in programming languages such as Python or C++, experience with machine learning frameworks like TensorFlow or PyTorch, and familiarity with tools for data analysis are crucial, along with relevant certifications being a plus. Strong problem-solving skills, collaboration, and effective communication help drive innovative research and facilitate teamwork. These competencies are essential for developing advanced machine learning models, staying current with evolving technologies, and effectively translating research into real-world applications.

What are some common challenges faced by machine learning research engineers in their daily work?

Machine Learning Research Engineers often encounter challenges such as sourcing and preparing large, high-quality datasets, tuning complex model architectures, and ensuring reproducibility of experimental results. They work closely with cross-functional teams, including data scientists and software engineers, to deploy models in production environments and must frequently adapt to rapidly evolving research. Keeping up with the latest scientific literature and integrating new algorithms into ongoing projects can be demanding but is also rewarding. This collaborative, fast-paced environment provides constant opportunities for learning and professional development.

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

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

Infographic showing various Machine Learning Research Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $120,645 per year, or $58 per hour.

Research Engineer, Machine Perception (Project Aria)

Meta

Redmond, WA

$154K/yr

Full-time

Posted 3 days ago

New


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies


Job description

Meta Reality Labs Research (RL Research) brings together a multidisciplinary, cross-discipline R&D team with the shared goal of developing the next generation of AR and VR technologies. The Project Aria team works on complex, open problems in machine perception — building the complete stack from sensor design through state estimation, tracking, calibration, and 3D reconstruction to novel scene representations. We are seeking a Research Engineer to develop and advance the algorithms and software systems that turn cutting-edge perception research into robust, deployable technology on future AR/VR devices.
Research Engineer, Machine Perception (Project Aria) Responsibilities:
  • Plan and execute innovative engineering development to advance the state-of-the-art in machine perception for AR/VR — including vision-language models (VLMs), multimodal and egocentric scene understanding, and foundation models
  • Develop and prototype tightly integrated hardware/software technologies, from research prototype to on-device deployment
  • Analyze and improve the efficiency, accuracy, scalability, and stability of currently deployed systems
  • Design, implement, and evaluate algorithms against real sensor data and experimental hardware
  • Build tooling and infrastructure (data pipelines, replay/evaluation systems, benchmarks) that accelerate the research team
  • Collaborate with researchers and engineers across disciplines throughout the project lifecycle, and clearly communicate agenda, progress, and results

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of C++ or Python experience building and shipping software systems
  • Experience understanding, developing, and analyzing complex systems
  • Experience with statistical analysis of data and mathematical modeling
  • Interpersonal experience: cross-group and cross-functional collaboration
  • Must obtain and maintain work authorization in the country of employment during employment

Preferred Qualifications:
  • Master's or PhD in Computer Science, Computer Vision, Machine Learning, or a related field
  • Experience taking research prototypes to deployed products on constrained/embedded hardware
  • Track record of results via first-authored publications at leading venues (CVPR, ICCV/ECCV, NeurIPS, ICLR, SIGGRAPH) or widely used open-source contributions
  • Broad understanding of the full machine-perception pipeline, from sensors to high-level algorithms
  • Experience with 3D computer vision, SLAM, vision-language models (VLMs), or multimodal learning

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.
$154,003/year to $217,000/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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