tvScientific is looking for a Machine Learning Engineer to join their growing team to work on their Connected TV ad-buying platform, scaling their Data Science practice and building data science tools for constructing ad campaigns.
Requirements
- Proficiency in writing and reviewing production-level Python code.
- Deep understanding of statistics and its application in machine learning.
- Proficiency with big data technologies such as Scala, Apache Spark, Apache Beam, and AWS Athena
- Experience with experimental design and A/B testing methodologies
- Systems programming experience in Zig.
- MLOps / Kubernetes experience
- Previous work with bandit algorithms and reinforcement learning techniques
Responsibilities
- Drive improvements in the speed and scalability of tvScientific's ML inference.
- Write and review production-level Python code to ensure quality and efficiency.
- Collaborate effectively within a talented team.
Other
- You'll lead small project teams, provide direction, and keep stakeholders informed.
- You’ll have the autonomy to determine key milestones and provide updates and check-ins to relevant teams and partners.
- Strong communication and writing skills.
- Desire to excel in a fast-paced Series B startup environment, embracing uncertainty and driving innovation through experimentation and iteration.
- Teaching experience
- Domain experience in adtech or connected TV
- Causal inference, conformal prediction, uncertainty quantification.
- 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.
