Sr. ML Ops Engineer, tvScientific

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

tv Scientific is the first and only CTV advertising platform purpose‑built for performance marketers. We leverage massive data and cutting‑edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose‑built a CTV performance platform advertisers can trust to grow their business.

tv Scientific is looking for a Senior MLOps Engineer! You’ll be working with a distributed engineering team on our Connected TV ad‑buying platform, as we scale our Machine Learning practice. We’ve cracked the code on optimizing TV ad campaigns. We’re scaling massively and we need your help to make that scale sustainable.

An Idealab company, tv Scientific was co‑founded by executives with deep roots in programmatic advertising and digital media. tv Scientific helps our clients buy ads across the CTV universe, from Hulu to Pluto

TV to the ad‑supported tier of Disney+ and (HBO) Max. Since our acquisition by Pinterest, we’re expanding our work on CTV to lift search & social advertising performance.

• Scale the decision‑making process for tools for the tv Scientific 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

• 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

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.

• This position is not eligible for relocation assistance. Visit our Pin Flex page to learn more about our working model.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

US based applicants only

$155,584—$320,320 USD

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.