ML Platform Engineer

About the job 1. About Our Client: The organization operates in the connected TV (CTV) advertising space, focusing on performance marketing. It addresses challenges in automating and optimizing TV advertising by integrating media buying, optimization, measurement, and attribution into a single platform. The platform is developed by experts with extensive backgrounds in programmatic advertising, digital media, and ad verification, offering a trusted solution for advertisers aiming to grow their business through data-driven TV advertising. 2. About the Opportunity: The ML Platform Engineer will join a team focused on site reliability engineering and low-latency distributed systems that support real-time machine learning and measurement infrastructure. This role is critical for maintaining high-speed, reliable decision-making systems, enabling efficient data access and integration with core technology stacks. The position plays a key role in designing and improving foundational systems for training and serving machine learning models, ensuring stability and observability across services and regions. 3. Responsibilities: Scale decision-making tools covering workflows, training infrastructure, and Kubernetes deployments Enhance the developer experience for the data science team Upgrade observability tools Ensure smooth deployments as infrastructure evolves 4. Requirements: Deep understanding of Linux Strong writing skills Systems-oriented mindset Experience with high-performance software such as real-time bidding or high-frequency trading Software engineering and reliability expertise, including CI/CD Strong instincts for observability Proven ability to use AI to improve speed and quality in workflows Experience critically evaluating and verifying AI-assisted work through testing, source-checking, data validation, or peer review High integrity and ownership, including protecting sensitive data and accountability for final outputs Nice-to-Haves: Reverse-engineering experience Experience with Terraform, EKS, or MLOps Programming experience in Python, Scala, or Zig NixOS experience Background in adtech or CTV Experience deploying distributed systems across multiple clouds Experience in hard real-time, low-latency environments 5. Pay Range and Compensation Package: $123,696—$254,667 USD base salary range Position is eligible for equity Final salary depends on location, experience, skills, and other factors 6. Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.