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Senior Meta Machine Learning Jobs in Seattle, WA

Adobe

Senior Machine Learning Engineer

Seattle, WA

$172K - $306K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

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 ...

PitchBook

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

PitchBook, a Morningstar company, is seeking a Senior Machine Learning Engineer to join their Product and Engineering team. The role involves delivering AI-powered features that extract insights from ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA

$118K - $163K/yr

  • Medical

  • Life

  • Retirement

As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

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 ...

Capital-Group-1

Machine Learning Engineer II

Seattle, WA · On-site

$159 - $255/hr

  • Medical

  • Life

  • Retirement

... machine learning models, data pipelines, and analytical systems to significantly enhance our ... In this role, you will collaborate directly with senior investment professionals and fellow ...

New

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML ...

DocuSign

Senior Machine Learning Engineer

Seattle, WA · On-site +1

$186K - $300K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our global services. You won't just be building dashboards; you will be building the "brain" of our ...

Docusign

Senior Machine Learning Engineer

Seattle, WA · On-site

$186K - $300K/yr

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We are looking for a Senior Machine Learning Engineer to redefine how we operate our global services. You won't just be building dashboards; you will be building the "brain" of our ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Seattle, WA

Senior Meta Machine Learning information

See Seattle, WA salary details

$28.5K

$91.4K

$186.1K

How much do senior meta machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior meta machine learning in Seattle, WA is $91,369.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $117,200.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in Seattle, WA?

The most popular types of Meta Machine Learning jobs in Seattle, WA are:

What are popular job titles related to Senior Meta Machine Learning jobs in Seattle, WA?

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

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The top searched job categories for Senior Meta Machine Learning jobs in Seattle, WA are:

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Cities near Seattle, WA with the most Senior Meta Machine Learning job openings:

Senior Meta Machine Learning jobs near you

Research Engineer - MSL FAIR Foundations

Meta

Seattle, WA

$154K/yr

Full-time

Re-posted 7 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 244 rated software companies

Job description

Meta is seeking Research Engineers to join the Evaluations team within Meta Superintelligence Labs. Evaluations are the core of AI progress at MSL, determining what capabilities get built, which features get prioritized, and how fast our models improve. As a Research Engineer on this team, you will curate and build the benchmarks for our most advanced AI models, across text, vision, audio, and beyond. You'll work alongside world-class researchers and engineers to collect, develop, and deploy novel benchmarks and reinforcement learning environments.This is a highly technical role requiring solid research engineering skills and the ability to work independently on a variety of open-ended machine learning challenges with high reliability. The evaluations you build will directly impact the research direction and major model lines within MSL, making engineering reliability, rigor, and scalability paramount. You will excel by maintaining high velocity while adapting to rapidly shifting priorities as we advance the technical research frontier. You'll need to be flexible and adaptive, tackling a wide variety of problems in the evaluations space, from implementing existing benchmarks to developing novel benchmarks and environments to implementing evaluation tooling at scale.If you are passionate about defining the capabilities that drive AI progress and thrive in fast-paced, high-impact research environments, we encourage you to apply for this exciting opportunity at the core of MSL.
Research Engineer - MSL FAIR Foundations Responsibilities:
  • Curate and integrate publicly available and internal benchmarks to direct the capabilities of frontier model development
  • Develop and implement evaluation environments, including environments for novel model capabilities and modalities
  • Collaborate with external data vendors to source and prepare high-quality evaluation datasets
  • Execute on the technical vision of research scientists designing new benchmarks and evaluations
  • Build robust, reusable evaluation pipelines that scale across multiple model lines and product areas
  • Contribute to evaluation tooling that measures the quality and reliability of evaluation suites

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience in machine learning engineering, machine learning research, or a related technical role
  • Proficiency in Python and experience with ML frameworks such as PyTorch
  • Experience identifying, designing and completing medium to large technical features independently, without guidance
  • Demonstrated experience in software engineering practices including version control, testing, and code review practices
  • Ability to work independently and adapt to rapidly changing priorities

Preferred Qualifications:
  • Publications at peer-reviewed venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or similar) related to language model evaluation, benchmarking, or deep learning
  • Hands-on experience with language model post-training and deep learning systems, or building reinforcement learning environments
  • Experience implementing or developing evaluation benchmarks for large language models and multimodal models (e.g., vision-language, audio, video)
  • Experience working with large-scale distributed systems and data pipelines
  • Familiarity with language model evaluation frameworks and metrics
  • Track record of open-source contributions to ML evaluation tools or benchmarks

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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