Senior ML Ops Engineer
Zigsaw
full-time
Posted on:
Location Type: Remote
Location: California • United States
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Salary
💰 $155,584 - $320,320 per year
Job Level
Tech Stack
About the role
- Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments
- Improve the developer experience for the data science team
- Upgrade our observability tooling
- Serve as a technical lead and mentor to the team
- Make every deployment smooth as our infrastructure evolves.
Requirements
- Deep understanding of Linux
- Excellent writing skills
- A systems-oriented mindset
- Experience in high-performance software (RTB, HFT, etc.)
- Software engineering experience + reliability (e.g. CI/CD) expertise
- Strong observability instincts
- Nice-To-Haves:
- Reverse-engineering experience
- Terraform, EKS, or MLOps experience
- Python, Scala, or Zig experience
- NixOS experience
- Adtech or CTV experience
- Experience deploying a distributed system across multiple clouds
- Experience in hard real-time low-latency (<10 ms) environments
Benefits
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
LinuxCI/CDPythonScalaZigTerraformEKSMLOpsNixOSreverse-engineering
Soft Skills
writing skillssystems-oriented mindsettechnical leadmentoring