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

Meta

Research Engineer, Monetization AI

Bellevue, WA

$184K/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 ...

Meta

Research Engineer, MRS AI

Bellevue, WA · On-site

$121.99K - $181K/yr

Degree must be completed prior to joining Meta • Research experience in machine learning, deep learning, and/or recommender systems, natural language processing • Programming experience in Python ...

Meta

Research Scientist Intern, AI Alignment

Bellevue, WA · On-site

$7.65K - $12.13K/mo

... Meta product development Minimum Qualifications • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or relevant ...

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 ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$219K - $301K/yr

At Meta, we're building the future of human connection and the technology that enables it. This ... on state-of-the-art machine learning and neural network methodologies • Define, build and ...

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 ...

Meta

AI Research Scientist, Robotics

Redmond, WA · On-site

$154K - $217K/yr

... machine learning and neural network methodologies • Define, build and benchmark new ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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How much do meta machine learning jobs pay per hour?

As of May 31, 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.
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Meta Machine Learning jobs near you
Research Engineer, Monetization AI

Research Engineer, Monetization AI

Meta

Bellevue, WA

$184K/yr

Full-time

Posted 8 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 184 rated software companies

Job description

We are the Monetization Ranking and Foundational AI organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI, ML and RecSys technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML/RecSys advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking AI/ML/RecSys specialists to join our team and drive SOTA research and production across the Monetization organization.
Research Engineer, Monetization AI Responsibilities:
  • Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
  • Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
  • Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
  • Design and implement generative modeling solutions for data augmentation
  • Develop and deploy machine learning pipelines
  • Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
  • Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
  • Experience with developing machine learning models at scale from inception to business impact
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Exposure to architectural patterns of large scale software applications

Preferred Qualifications:
  • PhD in AI, Computer Science, Data Science, or related technical fields
  • Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • First author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ICCV, CVPR, ACL, EMNLP, RecSys, KDD, WSDM, TheWebConf, ICDM, AAAI)
  • Direct experience in generative AI, LLMs, RecSys, ML research
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.
$183,997/year to $257,000/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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