Staff Machine Learning Researcher

About the role

As a Staff ML Researcher, you will work on challenging ML projects that extend and improve the way ML is used. You will have a strong, immediate impact on core metrics as a strong individual contributor leading research projects of high scope and ambiguity.

Key capabilities

• Ability to solve unclear problems: understand the core issue, define the goal and success measures, and find an effective solution.
• Hands-on ML expertise: build production ML systems; write code, train models, run experiments, and ship solutions with real-world impact.
• Results orientation: start simple, use complex tools only when necessary, and strive for simple, elegant solutions.
• Leadership: identify high-potential projects, create a vision, communicate with stakeholders, and execute.
• End-to-end ownership: own projects from conception through analysis, research, proof of concept, testing, implementation, and deployment.
• Effective communication and work organization across collaborators.

You will

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

Selected technologies used

• Python, Java, Scala
• PyTorch, NumPy, Pandas
• TPU, JAX
• Jupyter Notebooks
• BigQuery, GCP

Expected experience

• 5+ years of experience as a researcher or engineer.
• 2+ years of hands-on experience with Machine Learning or Data Science.
• Proficiency in programming.
• Sound mathematical knowledge and intuition.

Nice to have

• Strong theoretical mathematics foundation in statistics, probability, discrete mathematics, and combinatorics.
• AdTech experience is a plus, but not required.

What we offer

• Attractive compensation.
• Access to current technologies and opportunities to use them in large-scale, highly dynamic projects with extensive datasets.
• Immediate global business impact and opportunities to mentor less experienced colleagues.
• Remote and on-site work options, with flexible working hours.
• A collaborative ML team that shares knowledge and learnings.
• Practical, purpose-driven work directly connected to business results.