Distinguished Software Engineer, Recommendation Systems (AI/ML)
Job details
- Level
- Staff / principal
- Experience
- 8+ years
- Education
- Bachelor's degree
- Posted
- Oct 24, 2026
- Last confirmed open
- Oct 28, 2026
About this role
Skip to main content
Jobs
Teams
Career Programs
Working at Meta
Blog
Podcasts
Jobs
Distinguished Software Engineer, Recommendation Systems (AI/ML)
Distinguished Software Engineer, Recommendation Systems (AI/ML)
Menlo Park, CA
Artificial Intelligence
+ 3 more
Apply now
Meta is seeking a Distinguished Software Engineer with deep machine learning expertise to drive transformative advances in Meta's AI-powered products. In this role, you will operate at the intersection of foundational ML research and large-scale user products, shaping the technical direction of applied AI, machine learning modeling, and infrastructure across the organization.
You will identify and solve the hardest user problems, and leverage AI-native approaches to unlock step-change improvements in Meta's recommendation products.
Distinguished Software Engineer, Recommendation Systems (AI/ML) Responsibilities
- The role: Top applied AI/ML expert in a Recommendation Product
- Work on the hardest applied AI problem in the product
- Set a 2–3 year north-star architecture for the product
- Apply AI-native workflows and tooling as a force multiplier to accelerate AI/ML advancement in the product and expand the scope of what engineering teams can deliver
- Define new metrics and data-driven decision-making principles for long-term ML projects, connecting operational metrics to organization-level business outcomes
- Proactively identify systemic reliability, privacy, and integrity risks in ML systems and build robust technical safeguards, partnering with compliance and policy teams to ensure responsible AI deployment
- Mentor engineers across the organization on applied AI/ML, debugging complex product problems, and building production-grade AI systems, establishing yourself as a sought-after technical coach and technical leader
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
- 8+ years of experience in applied AI/ML with a track record of delivering measurable product outcomes
- Experience defining technical strategy and gaining organizational alignment across multiple engineering teams and cross-functional stakeholders
- Experience communicating complex ML system designs and trade-offs in writing to both technical and non-technical audiences, including executive leadership
Preferred Qualifications
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience building AI-native developer tooling or automation that measurably accelerates ML experimentation and production improvement cycles
- Experience applying ML to multiple product domains such as ranking and recommendation, generative AI, computer vision, or natural language processing
- Track record of industry-recognized contributions to machine learning applications, such as publications and open-source projects
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, harness 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $347,000/year to $403,000/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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form .
Apply for this job
Take the first step toward a rewarding career at Meta. Apply now
APPLY NOW
Find your role
Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.
View jobs
Meta AI
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process. Learn more
about AI usage and settings.
Sign up
to ask follow-up questions
Job Search
Technology Teams
Artificial Intelligence Creative Infrastructure Metaverse and Wearables Product and Program Management Research and Data Security Software Engineering
Business Teams
Business Operations Partnerships Sales and Marketing
Career Programs
Research Accelerate Eng Talent Students and Grads Rotational Programs
Working at Meta
Accessiblity and Engagement Benefits Culture Hiring Process
My account
Career profile Account settings Messages
Meta Careers Blog
Meta Tech Podcasts
About us
About Meta
Media gallery Brand resources For investors Looking for contractor roles?
Job Search
Technology Teams
Artificial Intelligence
Creative
Infrastructure
Metaverse and Wearables
Product and Program Management
Research and Data
Security
Software Engineering
Business Teams
Business Operations
Partnerships
Sales and Marketing
Career Programs
Research
Accelerate Eng Talent
Students and Grads
Rotational Programs
Working at Meta
Accessiblity and Engagement
Benefits
Culture
Hiring Process
My account
Career profile
Account settings
Messages
Meta Careers Blog
Meta Tech Podcasts
About us
About Meta
Media gallery
Brand resources
For investors
Looking for contractor roles?
Community Standards Data Policy Terms Cookie Policy
Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
You may view our Equal Employment Opportunity notice here .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need ass