Matterport - Senior ML Ops Engineer
$173,000–$253,000 year
Hybrid · Sunnyvale, California, United States
Job Summary
Senior ML Ops Engineer at Matterport/CoStar Group responsible for enhancing model performance, efficiency, and scalability. Analyze and profile ML models to identify bottlenecks; implement optimization techniques (quantization, pruning, distillation, neural architecture search); develop and integrate libraries/tools for efficient model execution on GPUs/CPUs/edge devices; collaborate with ML R&D to understand architectures and deployment requirements; design experiments to measure impact of optimizations on performance and accuracy; automate ML optimization workflows and CI/CD pipelines for production models; stay up-to-date with ML model optimization and hardware acceleration trends; ensure scalability and reliability of optimized models in production; role based in Sunnyvale, CA with a 4-days-on-site/1-day-work-from-home arrangement.
Required Qualifications
- Bachelor's degree or equivalent practical experience
- 3+ years of experience in machine learning engineering, with a focus on model optimization and deployment
- Proficiency in Python
- Experience with TensorFlow and/or PyTorch
- Experience with cloud platforms (AWS, Azure, GCP)
- Experience with CI/CD pipelines
- Strong communication skills
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.