Senior ML Software Engineer | Lead Scalable AI Systems

Meta

Sunnyvale (CA)

On-site

USD 184,000 - 257,000

Full time

14 days+

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Job summary

Meta is seeking talented experienced engineers in Sunnyvale, CA to build cutting-edge products that connect billions of people. You will tackle complex technical challenges, ship new features across mobile and web platforms, and collaborate with product, design, and infrastructure teams.

Ideal candidates have deep software and ML experience, strong mentoring skills, and a track record of shipping scalable systems.

Qualifications

  • 8+ years of programming experience in a relevant language OR 4+ years with a PhD.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
  • Experience using data and analysis to explain technical problems and provide solutions.

Responsibilities

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative experiences.
  • Implement UI elements using modern techniques and technologies.
  • Analyze and optimize code for quality, efficiency, and performance; provide feedback during code reviews.
  • Lead major initiatives, provide technical guidance and mentorship to peers.
  • Architect efficient, scalable systems for complex applications.
  • Identify and resolve performance and scalability issues; address technical debt.
  • Work across a variety of coding languages and technologies.
  • Establish ownership of components, features, or systems with end-to-end understanding.

Skills

Machine Learning
Software Engineering
Data Analysis

Education

Bachelor’s degree in Computer Science/Engineering
PhD (considered for senior/advanced research roles)

Tools

TensorFlow
PyTorch
Scikit-learn

Job description

Meta is seeking talented experienced engineers in Sunnyvale, CA to build cutting-edge products that connect billions of people. You will tackle complex technical challenges, ship new features across mobile and web platforms, and collaborate with product, design, and infrastructure teams.

Ideal candidates have deep software and ML experience, strong mentoring skills, and a track record of shipping scalable systems.

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