Sr. ML Ops Engineer, tvScientific

San Francisco, CA, US; Remote, USFull-TimeMid-levelAI / Data Science

You will be redirected to the company career page

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.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

tvScientific 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.
tvScientific 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, tvScientific was co-founded by executives with deep roots in programmatic advertising and digital media. tvScientific helps our clients buy ads across the CTV universe, from Hulu to PlutoTV 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 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.

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
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
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

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 PinFlex page to learn more about our working model.
#LI-SM4
#LI-REMOTE
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.
Information regarding the culture at Pinterest and benefits available for this position can be found here.