Machine Learning Systems Engineer

Job Title: ML Systems Engineer

Location: Remote, US

Department: Data Science

Type: Full-Time, Exempt

Experience: New Grad / Early Career (0-3 Years)

Salary Range: $125,000 - $165,000 base

Core Hours: 9 AM - 1 PM PST / 12 - 4 PM EST

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.

Role Summary

tvScientific is looking for a ML Systems Engineer with experience in Zig 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 PlutoTV to the ad-supported tier of Disney and (HBO) Max. We have a new partnership with Roku to advance CTV performance advertising.

What You'll Do

• Write production code in Zig
• Train, deploy, and manage new ML models for ads in CTV
• Improve the speed of tvScientific's ML inference at scale
• Plan and design new ML products to deliver clear performance from connected TV advertising
  
  

You'll Be Successful in This Role if You Have/Are

• Excellent writing skills
• Strong understanding of computer systems
• Desire to work at a fast-growing Series B startup–working under uncertainty, owning and scaling new products, and an experimental and iterative development process
  
  

You May Also Have

Adtech or CTV experience

Experience working with systems requiring low latency (

Teaching experience

Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena

Python and ML experience

Kubernetes/EKS experience

Culture and Benefits

At tvScientific we believe people do their best work when they feel challenged and engaged by their day to day responsibilities, when they're surrounded by smart, hard working people, and when they have a healthy work life balance. Our company culture and benefits package reflects these beliefs.

• Full health, dental, and vision insurance - up to 95% funded by the company for employees.
• Employee stock option program.
• Company-sponsored retirement plan with a matching contribution program.
• 12 annual paid holidays (including 2 flexible days).
• Generous PTO policy (get your work done and take the time you need).
• A remote-first environment that allows employees flexibility to work from most places in the US.
  
  

tvScientific is committed to building an inclusive environment for people of all backgrounds and everyone is encouraged to apply. tvScientific is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law.