Lead Machine Learning Operations Engineer

Job Title: Lead Machine Learning Operations Engineer
Location: Remote, US
Department: Data Science
Type: Full-Time
Experience: 8+ Years
Salary Range: $200,000 - $240,000 (+Bonus, Equity, and Benefits)
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 Lead MLOps Engineer! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Data Science practice. We’ve cracked the code on optimizing TV ad campaigns. We’re scaling massively and we need your help to make that scale work economically.

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 partnerships with NBCUniversal and Roku to advance CTV performance advertising.

What You'll Do

• Own the decision making process for tools for the Data Science team, from our workflows to our training infrastructure to our Kubernetes deployments
• Improve the developer experience for the data science team
• Upgrade our observability tooling
• Serve as a technical lead and mentor to the team

How We'll Define Success

• Terraform, EKS, and MLOps experience
• Excellent writing skills
• A system-oriented mindset
• 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

• Teaching Experience
• Adtech or CTV experience
• Python, Scala, or Zig experience
• Experience managing systems across multiple clouds

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 through Fidelity Investments.
• 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.

As tvScientists We Are...

• Big Thinkers: We believe in setting audacious goals and envisioning transformative change.
• Radically Transparent: We value transparency in all aspects of our business. We foster a culture of open communication, honesty, and accountability.
• Performance-obsessed: We are passionate about achieving exceptional results. We strive for excellence in everything we do and set high standards for ourselves.
• Data-driven: We embrace the power of data, science, and technology as crucial drivers of our success.
• Trust Builders: We prioritize building and nurturing trust with our stakeholders. We understand that trust is the foundation of successful relationships and business partnerships. Through our actions, integrity, and commitment to delivering on promises.
• Forever Students: Challenge assumptions to look for solutions. We create a safe environment for experiments and risk-taking by our customers and employees.

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.