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

Currently has, or is in the process of obtaining, a PhD in Computer Science, Machine Learning, Computer Vision, or a related technical field. Degree must be completed prior to joining Meta

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 ...

Data Scientist

Bellevue, WA · On-site +1

$147K/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 ...

Software Engineer, Systems ML

Bellevue, WA

$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.

With global departments dedicated to research and development in computer vision, machine learning ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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Meta Machine Learning information

See Seattle, WA salary details

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How much do meta machine learning jobs pay per hour?

As of Jul 3, 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:
Computer Vision Engineer, Reality Labs

Computer Vision Engineer, Reality Labs

Meta

Redmond, WA

$154K/yr

Full-time

Posted 7 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

130th of 202 rated software companies


Job description

The Reality Labs organization is helping more people around the world come together and connect through Augmented and Virtual Reality (AR/VR) products. With global departments dedicated to research and development in computer vision, machine learning, haptics, social interaction, and more, RL is committed to advancing the state of the art through ongoing research and development. The potential to change the world is immense - and we’re just getting started.Our Mixed Reality (XR) organization is focused on cutting-edge research and development of machine perception technologies from early concepts to production level across all of Facebook’s AR/VR products and surfaces. These include Oculus products, Facebook Glasses and Family of Apps (Facebook, Instagram, Messenger, WhatsApp). We develop core capacity across a range of product domains including Avatars, AR/VR remote presence/calling, AR Commerce, AR Sharing, Spatial, Calibration and more.In this role, you will be researching and applying a range of software, computer vision and machine learning techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization and human interaction. As well there are opportunities to collaborate with researchers in Reality Labs (RL) and Facebook AI Research (FAIR).
Computer Vision Engineer, Reality Labs Responsibilities:
  • Design and develop novel factory and online calibration algorithms for sensors and displays. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
  • Collaborate with cross-functional engineering and research teams from Reality Labs and FAIR in computer vision, machine learning, and graphics
  • Participate in cutting edge research in computer vision that can be applied to AR/VR product development
  • Define projects for other engineers to achieve impact based on your direction
  • Contribute to engineering best practices, code quality standards, and technical culture within your team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 3+ years of experience developing and designing Computer Vision and Perception algorithms for Robotics technologies and systems
  • Experience engineering in C++
  • Prototyping and engineering experience in at least ONE relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
  • MS degree in Computer Science, Computer Vision, Robotics or a related technical field

Preferred Qualifications:
  • Publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, RSS, ICRA, IROS, etc
  • Industry experience working on projects such as: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-From-Motion
  • PhD degree in Computer Science, Computer Vision, Robotics or a related technical field

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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