Software Engineer, Systems ML
- Location
- Menlo Park, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 28 days ago
Skills & highlights for this role
- machine learning infrastructure
- model training pipelines
- inference optimization
- hardware-aware optimization
Also useful
- ML systems at scale
About Meta
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.
From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Software Engineer, Systems ML job at Meta located?
This Software Engineer, Systems ML position at Meta is located in Menlo Park, CA (On-site). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer, Systems ML at Meta?
For the Software Engineer, Systems ML role, Meta highlights experience with machine learning infrastructure, model training pipelines, inference optimization, hardware-aware optimization. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer, Systems ML position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.