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About the Role

As a Sr. Machine Learning Engineer at tvScientific, you will build the ML and AI systems that power our Connected TV ad-buying platform, focusing on real-time bidding, campaign optimization, and incrementality measurement at scale. We are an adtech company solving the challenge of making CTV advertising measurable, enabling advertisers to prove the business outcomes of their ad spend across various CTV platforms.

Responsibilities

Write production Python code for real-time bidding, model training, and campaign optimization.
Train, deploy, and monitor ML models for ad selection, timing, and pricing at high volume.
Build and enhance incrementality measurement systems to quantify the impact of CTV ad spend.
Design and implement new ML products for audience targeting, bid optimization, pacing, and attribution.
Utilize LLMs and generative AI to develop internal tools that speed up ML system development, testing, and deployment.
Provide technical leadership and mentorship to a distributed engineering team.

Requirements

Strong production Python skills.
Solid statistics and ML fundamentals, including experiment design and model evaluation.
Familiarity with modern AI tools and their effective application.
Experience in Adtech or CTV, including RTB, programmatic advertising, or supply-path optimization.
Clear written communication skills for a distributed team environment.
Comfort with ambiguity and ability to own problems end-to-end in a fast-paced setting.
Bachelor's degree in Computer Science, Mathematics, Engineering, a related field, or equivalent experience.
4+ years of industry experience.

Skills

Python
Machine Learning
AI
Real-time bidding
Campaign optimization
Incrementality measurement
LLMs
Generative AI
Statistics
Experiment design
Model evaluation
Adtech
CTV
RTB
Programmatic advertising
Supply-path optimization
Written communication
Causal inference
Uplift modeling
Synthetic controls
Difference-in-differences
Incrementality testing
Scala
Spark
Systems programming
Zig
C
C++
Rust
Reinforcement learning
Bandit algorithms
Agentic AI systems
LLM-powered workflows
MLOps
Model deployment
Model monitoring
Pipeline orchestration
AWS

Location

Remote

Work Type

Full-time
Remote

Experience Level

4+ years of industry experience

Education Level

Bachelor's degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience

Salary/Compensations

$155,584—$320,320 USD

Benefits

Equity

About the Company

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.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
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.

Equal Opportunity

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.