Meta
Software Engineer (Technical Leadership) - Machine Learning
$219K–$301K
Sunnyvale, CA +8 · Remote · Full-time · Posted Jun 10, 2025
- Location
- Sunnyvale, CA
Remote, US
Bellevue, WA
Redmond, WA
Menlo Park, CA
Seattle, WA
Burlingame, CA
New York, NY
San Francisco, CA - Experience
- 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Master's degree or PhD in Computer Science or a related technical field is also stated.
About the job
Leads long-term technical direction and cross-company machine-learning engineering efforts, including roadmaps, feature development, and performance and scalability improvements.
What you'll do
- Set team goals and technical direction; lead long-term technical vision and roadmaps for large cross-company efforts.
- Identify and resolve performance, scalability, and technical-debt issues; propose and prioritize new opportunities.
- Communicate technical problems and solutions, collaborate across functions, and influence organizational leaders and stakeholders.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 12+ years of programming experience in a relevant language OR 8+ years experience with a PhD.
- Experience planning multi-year roadmaps, driving large cross-functional or industry-wide engineering efforts, and using data analysis to explain technical problems and solutions.
- Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques.
Nice to have
- Experience with TensorFlow, PyTorch, or Scikit-learn; understanding of information retrieval and NLP techniques.
- Experience integrating AI tools into workflows, applying responsible AI practices, and developing AI skills such as prompt/context engineering or agent orchestration.
Pay
$219,000/year to $301,000/year (base salary)
Tools
TensorFlow, PyTorch, Scikit-learn
AI focus
Integrate AI tools to optimize or redesign workflows and deliver measurable impact; apply responsible AI practices and continue developing skills in prompt/context engineering and agent orchestration.
Model-written summary · the original posting is authoritative