Staff Machine Learning Engineer

We are looking for experienced candidates, who have had experience building Ads Delivery systems to help accelerate our growth. The ideal candidate should possess a strong passion for understanding complex systems, have the curiosity to understand why systems behave in certain ways, have the drive to research / propose new system designs and is a pragmatist.

What the Candidate Will Need / Bonus Points

—- What the Candidate Will Do —-

1. Build statistical, optimization, and machine learning models for a range of applications in the Ads Delivery space (e.g. auction, bidding, pacing, ranking).
2. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
3. Use data to understand product performance and to identify improvement opportunities.
4. Collaborate with cross-functional teams across disciplines such as product, engineering, and marketing to drive system development end-to-end from ideation to productionization.

—- Basic Qualifications —-

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields .
2. 6+ years of industry experience as an Applied Scientist/Machine Learning Engineer.
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
4. Experience in experimental design and analysis.
5. Experience with exploratory data analysis, statistical analysis and testing, and model development.
6. Ability to use Python to work efficiently at scale with large data sets.
7. Proficiency in SQL.

—- Preferred Qualifications —-

1. Experience in algorithm development and prototyping.
2. Experience in building Ads Delivery systems.
3. Experience with productionizing algorithms for real-time systems.
4. Excellent communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$218,000 per year – USD$242,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year – USD$242,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$218,000 per year – USD$242,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$218,000 per year – USD$242,000 per year.

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