# Sr. ML Ops Engineer, tvScientific

**Company**: tvScientific
**Location**: San Francisco, CA, US; Remote, US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $155,584-$320,320 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/7642249?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ccb5daf2-354

## Description

We're looking for a Senior MLOps Engineer to join our distributed engineering team on our Connected TV ad-buying platform. As a Senior MLOps Engineer, you will be responsible for scaling the decision-making process for tools for the tvScientific AI team, improving the developer experience for the data science team, upgrading our observability tooling, serving as a technical lead and mentor to the team, and making every deployment smooth as our infrastructure evolves.

Key responsibilities include:

- Scaling the decision-making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments

- Improving the developer experience for the data science team

- Upgrading our observability tooling

- Serving as a technical lead and mentor to the team

- Making every deployment smooth as our infrastructure evolves

Requirements include:

- 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

- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs

- Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)

- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables

Nice-to-haves include:

- 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

## Skills

### Required
- Linux
- writing skills
- systems-oriented mindset
- high-performance software
- software engineering
- reliability
- observability
- AI
- critical evaluation
- verification
- data protection
- data validation
- peer review

### Nice to have
- reverse-engineering
- Terraform
- EKS
- MLOps
- Python
- Scala
- Zig
- NixOS
- adtech
- CTV
- distributed system
- hard real-time low-latency

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/7642249?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)