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Software Engineer, Machine Learning RecSys

Meta· Machine Learning
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Sunnyvale, CA, Hybrid (Various locations)$154k - $217kFull-timePosted 3mo ago

About the role

Meta job posting for a Software Engineer focused on Machine Learning RecSys. Role involves collaborating with cross-functional teams, building scalable ML-driven recommendation systems, and delivering high-quality, reliable software across mobile and web platforms.

Responsibilities

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences.
  • Implement custom user interfaces using latest programming techniques and technologies.
  • Develop reusable software components for interfacing with back-end platforms.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Lead complex technical or product efforts and provide technical guidance to peers.
  • Architect efficient and scalable systems that drive complex applications.
  • Identify and resolve performance and scalability issues.
  • Work on a variety of coding languages and technologies.
  • Establish ownership of components, features, or systems with expert end-to-end understanding.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 2+ years of programming experience in a relevant programming language
  • 1+ years of hands-on experience in machine learning, recommendation systems, llms or artificial intelligence
  • Experience with scripting languages such as Python, Javascript or Hack
  • Experience with developing machine learning models at scale from inception to business impact
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid approaches, personalization at scale)
  • Experience building and shipping high quality work and achieving high reliability
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes

Skills

Required:ProgrammingMachine Learning / Recommendation SystemsPython
Nice to have:Java/C/C++

Benefits

  • benefits are offered at Meta
  • (instructions indicate to copy raw text when present; however, the job description lists benefits generally; if specific items are not enumerated, omit)
Last updated Oct 23, 2026. Interested? Apply on the company site.

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