Connected TV Advertising + Attribution Platform
Sr. ML Ops Engineer
Location
United States
Posted
6 days ago
Salary
$155K - $320K / year
Job Description
About tvScientific
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.
What you'll do:
- 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.
What we're looking for:
- 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
In-Office Requirement Statement:
- 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.
Relocation Statement:
- 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.
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Senior Data/ML Engineer
JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This role offers the opportunity to shape and scale the next generation of data infrastructure and machine learning systems that power customer-facing products and business insights. The Senior Data/ML Engineer will design, implement, and optimize core data pipelines, ML workflow...
DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm, and a commitment to providing the finest practitioner-focused education. We are seeking primarily Industry Pr...
Peer Mentor
Southern New Hampshire UniversitySouthern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.
As a Peer Mentor, you will work part-time helping students transition to SNHU and make the most out of their first-year experience (FYE). You will report to the Associate Dean. Peer Mentors provide personalized mentoring to first-year students in addition to delivering and suppor...
Sr. Machine Learning Engineer
TrueMLTrueML is a fintech company building software to create positive experiences for consumers seeking financial health.
The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.
