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
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.





