Machine Learning Engineer at tvScientific

tvScientific logo
tvScientific

Machine Learning Engineer

125k - 165k USD

Remote

Full Time

#Data Science

#Advertising

#Machine Learning

#Python

#Statistics

#Scala

#Apache Spark

#AWS

#A B Testing

#MLOps

#Reinforcement Learning

tvScientific is looking for a Machine Learning Engineer

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We're hiring a Machine Learning Engineer to help scale our data science capabilities on a remote-first Connected TV advertising platform that combines media buying, optimization, measurement, and attribution in one solution.

Responsibilities

  • Drive improvements in our machine learning algorithms and their applications across the platform.
  • Write and review production-level Python code to maintain quality and efficiency.
  • Lead small project teams, set milestones, and keep stakeholders informed on progress.
  • Collaborate with a distributed engineering team to build tools for ad campaign construction, timing, scheduling, and bid optimization.

Must-haves

  • 0-3 years of experience as a new grad or early-career professional.
  • Deep understanding of statistics and its application in machine learning.
  • Strong communication and writing skills.
  • Proficiency in Python.
  • Fluency in English.
  • Willingness to thrive in a fast-paced Series B startup environment with experimentation and iteration.

Nice-to-haves

  • Proficiency with Scala, Apache Spark, and AWS Athena.
  • Experience with experimental design and A/B testing methodologies.
  • MLOps experience.
  • Previous work with bandit algorithms and reinforcement learning techniques.
  • Domain experience in adtech or connected TV.
  • Systems programming experience in Zig, C, or C++.
  • Understanding of causal inference, conformal prediction, and uncertainty quantification.
  • Teaching experience.

Benefits

$125,000 - $165,000 base salary.

  • Medical, dental, and vision insurance with up to 95% company funding.
  • Equity compensation through an employee stock option program.
  • 401k retirement plan with company matching contributions.
  • 12 annual paid holidays, including 2 flexible days.
  • Generous paid time off policy.
  • Fully remote work from most locations in the US.
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