Staff ML Researcher - Production ML for AdTech Impact

rtbhouse; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Remote and on-site work

Job summary

RTB House is seeking a Staff ML Researcher to tackle challenging ML projects central to our products. You will lead high-scope research, write production-ready code, train models, and ship solutions that improve our bidding and targeting across markets.

This role emphasizes hands-on experimentation, leadership, and clear communication with stakeholders. You will own projects from conception to deployment, mentor researchers, and contribute to a culture of rapid, responsible innovation in a

Qualifications

• 5+ years of experience as researcher or engineer.
• 2+ years hands-on ML / data science experience.
• Proficiency in programming.
• Sound mathematical knowledge and intuition.

Responsibilities

• Identify, define, and drive research projects with company-wide scope and direct impact on our core metrics.
• Design and implement models, most often deep neural networks, used to predict the behavior and preferences of Internet users.
• Develop and test new approaches to modeling key issues, such as bidding in first-price auctions.
• Conduct and analyze A/B tests of new solutions.
• Follow and analyze the latest works in the field of Machine Learning, and translate them into practical improvements.
• Mentor researchers and shape research practices across teams.

Skills

Problem solving

Hands-on ML

Results oriented

Leadership

End-to-end ownership

Communication

Tools

Python

Java

Scala

PyTorch

NumPy

Pandas

TPU

JAX

Jupyter

BigQuery

GCP

Job description

RTB House is seeking a Staff ML Researcher to tackle challenging ML projects central to our products. You will lead high-scope research, write production-ready code, train models, and ship solutions that improve our bidding and targeting across markets.

This role emphasizes hands-on experimentation, leadership, and clear communication with stakeholders. You will own projects from conception to deployment, mentor researchers, and contribute to a culture of rapid, responsible innovation in a