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Open nowFirst seen 9 hours ago

Distinguished Software Engineer, Recommendation Systems (AI/ML)

Meta1,231 open roles

Where
Menlo Park, CA
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Your applicationOpen nowDistinguished Software Engineer, Recommendation Systems (AI/ML)Meta · Menlo Park, CA

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. Meta postings stay open a median of 35 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 9 hours ago

Meta median: 35 days open

The posting

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.

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

US: $347,000/year to $403,000/year + bonus + equity

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