Senior ML Engineer

tvScientific is looking for a Machine Learning Engineer with experience in low-latency software and distributed systems to join our growing team! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Data Science practice from zero to one. We’re building data science tools for constructing ad campaigns from content to timing to scheduling to bid optimization.

Our self-managed platform makes it easy to buy, optimize, and prove the value of TV advertising. 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 Roku to PlutoTV to the ad-supported tier of HBO Max. We have a deep partnership with NBCUniversal to advance CTV performance advertising.

What You'll Do

• Write production code in Python
• Improve the speed of tvScientific's ML inference at scale
• Contribute to a talented team

What We're Looking For

• Ability to write & review production-level code in Python
• Excellent writing skills
• Desire to work at a fast-growing Series A startup–working under uncertainty, owning and scaling new products, and an experimental and iterative development process

Nice-To-Haves

• Adtech or CTV experience
• Experience working with systems requiring low latency (<10 ms)
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena
• Zig Experience