Lead Machine Learning Engineer for Scalable Infrastructure Solutions
Samsara
About the role
About
Shape the future of real-world safety as a Staff Machine Learning Engineer. Drive innovative ML infrastructure design while enhancing end-to-end platform capabilities in a fully remote role.
You will spearhead the design and evolution of a comprehensive ML platform, directly impacting safety outcomes across various product domains. With over a decade of experience required, key skills include distributed computing, cloud infrastructure, and a robust understanding of ML fundamentals. Your work will empower teams to deliver scalable ML systems that significantly enhance operational safety and efficiency.
Contribute to impactful ML solutions that enhance safety and efficiency across industries while advancing your skills in a dynamic environment.
Responsibilities
- Design and operate end-to-end ML infrastructure
- Collaborate on ML-powered feature development
- Lead cost estimation for new ML initiatives
- Standardize experiment tracking and evaluation
- Ensure reliability and observability of ML systems
Requirements
- 10+ years in machine learning engineering
- Expertise in distributed computing frameworks
- Hands-on experience with AWS and Kubernetes
- Strong history of supporting ML platforms
- Knowledge of model evaluation and iteration
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Requirements
- 10+ years in machine learning engineering
- Expertise in distributed computing frameworks
- Hands-on experience with AWS and Kubernetes
- Strong history of supporting ML platforms
- Knowledge of model evaluation and iteration
Responsibilities
- Design and operate end-to-end ML infrastructure
- Collaborate on ML-powered feature development
- Lead cost estimation for new ML initiatives
- Standardize experiment tracking and evaluation
- Ensure reliability and observability of ML systems
Skills
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