ML Engineer, Recommendation Systems for Global Impact

Meta

San Francisco (CA)

On-site

USD 154,000 - 217,000

Full time

9 days ago

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Benefits offered by this job

Bonus
Equity
Benefits

Job summary

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products with a mission to connect billions of people worldwide. You will work on complex technical problems, build new features, and improve existing products across mobile and web platforms.

Responsibilities include collaborating with cross-functional teams, implementing advanced interfaces, developing reusable components, and leading technical efforts while architecting scalable systems.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field or equivalent practical experience.
  • 2+ years of programming experience in a relevant language.
  • 1+ years in ML, recommendation systems, LLMs, or AI.
  • Experience with Python, JavaScript, or Hack.
  • Experience building ML models at scale from inception to business impact.
  • Knowledge of C/C++ and Java, or Python, Perl, PHP, or shell scripting.
  • Proven track record of setting technical direction and cross-functional partnerships.
  • Experience designing, building, or deploying recommendation systems (e.g., collaborative filtering, content-based, hybrid, personalization at scale).
  • Experience shipping high quality work with high reliability and proactive quality improvements.

Responsibilities

  • Collaborate with cross-functional teams to build innovative application experiences.
  • Implement custom user interfaces with modern techniques and technologies.
  • Develop reusable components interfacing with back-end platforms.
  • Analyze and optimize code for quality, efficiency, and performance.
  • Lead complex technical or product efforts and provide guidance to peers.
  • Architect efficient, scalable systems for complex applications.
  • Identify and resolve performance and scalability issues.
  • Work with multiple languages and technologies.
  • Establish ownership of components with end-to-end responsibility.

Skills

Machine Learning
Recommendation Systems
LLMs
Python
Java
C/C++
Team Leadership
Cross-functional Collaboration

Education

Bachelor's degree in CS/CE or equivalent

Tools

PyTorch
TensorFlow
HuggingFace

Job description

Meta is seeking talented Machine Learning engineers to join our teams in building cutting-edge products with a mission to connect billions of people worldwide. You will work on complex technical problems, build new features, and improve existing products across mobile and web platforms.

Responsibilities include collaborating with cross-functional teams, implementing advanced interfaces, developing reusable components, and leading technical efforts while architecting scalable systems.

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