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Meta Machine Learning Jobs in Seattle, WA (NOW HIRING)

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

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 ...

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 ...

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 ...

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

... Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta's revenue. The ...

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In ...

Computer Vision Engineer

Bellevue, WA · On-site

$125K - $148K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, featur.

New

Software Engineer, Systems ML

Bellevue, WA · On-site

$195K - $231K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations tha.

Software Engineer, Systems ML

Bellevue, WA · On-site

$195K - $231K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

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Meta Machine Learning information

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How much do meta machine learning jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for meta machine learning in Seattle, WA is $24.27, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $26.01 per hour, depending on experience, location, and employer.

What is a Meta Machine Learning job?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in the Meta Machine Learning position, and why are they important?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a Meta Machine Learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.

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 Meta Machine Learning jobs in Seattle, WA? For Meta Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Meta Machine Learning jobs in Seattle, WA look for? The top searched job categories for Meta Machine Learning jobs in Seattle, WA are:
Infographic showing various Meta Machine Learning job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $50,486 per year, or $24.3 per hour.
Computer Vision Engineer

Computer Vision Engineer

Meta

Bellevue, WA

$154K/yr

Full-time

Posted 4 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

142nd of 217 rated software companies


Job description

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to lead projects on feature-based eye tracking and human eye simulation to power AR/VR eye tracking solutions in our products including the Quest line. This role collaborates with cross-functional teams on image simulation, core AI, computer graphics, machine vision research, and HW design. The immediate team for this role is composed of Computer Vision, Machine Learning and SW Engineers.
Computer Vision Engineer Responsibilities:
  • Lead development, refinement, and launch of CV/ML solutions for explicit and NERF-based simulation of eye and upper face images used in training of AR/VR eye tracking models and system evaluation
  • Explore, innovate, and leverage novel approaches, from internal and external sources, to improve the accuracy, performance, and generalizability of geometric and explicit optical models used in eye tracking pipelines
  • Contribute to data-driven and geometric modeling of eye imaging including NERF and Gaussian splatting for novel view synthesis, 3D graphical rendering of eye features, and classical feature and keypoint detection and extraction from eye and face images
  • Drive cross-functional collaborations with partner teams including but not limited to physics simulation, ML modeling, hardware development, and product design
  • Contribute to recruitment, mentoring, onboarding, and growing ML engineers/scientists, interns, and contractors

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Background in computer vision, classical image processing, and 2D/3D spatial data analysis
  • Experience with computer graphics, and physics-based/geometric modeling
  • Working knowledge of imaging systems and optics simulation
  • Direct background in machine learning, deep learning, neural networks and similar data-driven techniques
  • Experience mentoring and acting as project technical lead

Preferred Qualifications:
  • Experience with latest graphics techniques such as NERF and Gaussian splatting
  • Experience in eye and face simulation and image generation
  • Knowledge of eye tracking techniques and models
  • Master's or PhD in engineering, physics, or computer science
  • Background in AR/VR
  • Familiarity with procedural rendering engines, ray tracing, and path tracing

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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