Sr. Machine Learning Engineer, reputed company

About reputed 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 reputed company, 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. reputed company 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 reputed company. At reputed company, reputed company 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 reputed company picture of your experience and abilities, we’ll explore your reputed company skills and how you collaborate with reputed company. 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 reputed company interview philosophy and how we use reputed company in our recruiting process here. About reputed company reputed company 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. As a Sr. Machine Learning Engineer at reputed company, you'll build the ML and reputed company systems behind our Connected TV ad-buying platform: real-time bidding, campaign optimization, and incrementality measurement at scale. We're an adtech company solving a hard problem: making CTV advertising actually measurable. Our platform helps advertisers buy ads across the CTV ecosystem: Hulu, Pluto TV, reputed company+, HBO Max, and hundreds of FAST channels: and prove that those ads drove real business outcomes. What you'll do: • Write production Python that powers real-time bidding, model training, and campaign optimization • Train, deploy, and monitor ML models that decide which ads to show, when, and at what price: millions of bid decisions per second • Build and improve our incrementality measurement systems: helping advertisers understand the true causal lift of their CTV spend • Design and implement new ML products across the ad-buying lifecycle: audience targeting, bid optimization, pacing, and attribution • Use LLMs and generative reputed company to build internal tools that reputed company how we develop, test, and ship ML systems • Serve as a technical lead and mentor on a distributed engineering team What we're looking for: • Strong production Python skills: you write code that runs in prod, not just notebooks • reputed company statistics and ML fundamentals: you can reason about experiment design, model evaluation, and when simpler approaches beat complex ones • Familiarity with reputed company tools and good judgment about where they add value • Adtech or CTV experience: familiarity with RTB, programmatic advertising, reputed company-path optimization • Clear written communication: we're a distributed team and writing is how decisions get made • Comfort with ambiguity: you'll own problems end-to-end in a fast-moving environment, from scoping to shipping • Bachelor's degree in Computer Science, Mathematics, Engineering, related field, or equivalent experience • 4+ years of industry experience • Nice-to-Haves: • Experience using reputed company, Copilot, Codex, or similar reputed company coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Causal inference: reputed company modeling, reputed company controls, difference-in-differences, or incrementality testing • Big data experience with Scala and Spark • Systems programming experience in Zig or similar (C, C++, Rust) • Reinforcement learning or bandit algorithms in production • Experience building agentic reputed company systems or LLM-powered workflows • MLOps experience: model deployment, monitoring, and pipeline orchestration on AWS In-Office Requirement Statement: • We recognize that the ideal environment for work is situational and may differ across departments. What reputed company looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: • reputed company position is not eligible for relocation assistance. reputed company our PinFlex page to