Machine Learning Engineer - Remote

Overview

tvScientific is looking for a Machine Learning Engineer to join our growing team! You will work with a distributed engineering team on our Connected TV ad-buying platform, scaling our Data Science practice.

In Short

• Drive improvements in the speed and scalability of ML inference.
• Write and review production-level Python code.
• Collaborate effectively within a talented team.
• Lead small project teams and provide direction.
• Achieve key project milestones and objectives.
• Contribute to team collaboration and inclusive work environment.
• Deep understanding of statistics in machine learning.
• Experience in a fast-paced startup environment.
• Proficiency with big data technologies is a plus.
• Understanding of experimental design and A/B testing.

Requirements

• Proficiency in writing production-level Python code.
• Strong communication and writing skills.
• Experience with big data technologies such as Scala and Apache Spark.
• Knowledge of bandit algorithms and reinforcement learning.
• Systems programming experience in Zig is a plus.
• Experience in adtech or connected TV is beneficial.
• Understanding of causal inference and uncertainty quantification.
• Desire to excel in a fast-paced environment.
• Teaching experience is a plus.
• MLOps / Kubernetes experience is beneficial.

Benefits

• Full health, dental, and vision insurance - up to 95% funded by the company.
• Employee stock option program.
• Company-sponsored retirement plan with matching contributions.
• 12 annual paid holidays including 2 flexible days.
• Generous PTO policy.
• Remote-first environment with flexibility to work from most places in the US.