Director of Machine Learning Science - AI Automation & Optimization
Seattle, WA
Applications have closed
The ideal candidate will have experience leading efforts researching, developing, and deploying cutting-edge machine learning algorithms to automate and optimize planning and decisioning for extremely complex dynamic systems with imperfect information. You should keep up with the latest academic research and developments in reinforcement learning (e.g. MuZero, growing-tree counterfactual regret minimization, etc) and stochastic black box optimization and intuitively understand how these algorithms can be applied to automate and optimize execution of large-scale advertising campaigns to balance both performance and portfolio risk.
With billions of data points ingested daily and the ability to impact and automate millions of critical decisions that drive the core of our business, this is a unique opportunity to build new advanced ML and AI capabilities at a company that still innovates at the pace of a startup but has the data and scale of a successful billion dollar company!
The Role You Will Have
- Lead a team focused on developing an automated and intelligent advertising system by advancing the state-of-the-art in machine/reinforcement learning techniques to support large-scale optimization of media/channel mix, ad selection, bidding and overall campaign performance, etc
- Leverage knowledge of software engineering principles to guide development and deployment of production machine learning solutions making decisions that impact millions of dollars of ad spend and revenue per day
- Keep abreast of relevant research in online ad auction design, computational advertising, and computational economics
- Work with cross-functional teams of engineers, scientists, and analysts, to devise implementation and experimentation strategies
- Utilize broad and deep knowledge of machine learning to contribute to the development of System1’s roadmap for core machine learning capabilities
- Coach and mentor data scientists to elevate the talent bar across System1
What You Will Bring
- Bachelor's degree (Master's or Ph.D preferred) in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent work experience
- 5+ years of experience researching & developing algorithms for intelligent automation and optimization systems
- Previous experience leading a highly technical machine learning / data science team
- Strong machine learning and algorithmic background with a deep understanding of advanced reinforcement learning, stochastic optimization, and deep learning techniques
- Hands-on experience building ML driven products
- Experience leading technical research and production grade development efforts/teams
- Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
- Solid software design and implementation skills with a general-purpose programming language (e.g. Rust, Scala, C++/C#, Java, Haskell, etc) (preferred)
- Strong functional programming development skills (preferred)
- Ability to effectively communicate technical information to a wide spectrum of cross-functional team members
- Experience mentoring and coaching junior team members
What We Have to Offer
- Competitive salary + bonus + equity
- Generous PTO + 11 Company Holidays
- Untracked sick time
- 100% covered Medical, Dental, Vision for employees
- 401k w/match
- Paid professional development
- Leadership & growth opportunities
- Virtual company and team building events
- #BI-Remote
- #LI-Remote
Tags: Computer Science Deep Learning Economics Engineering Haskell Julia Machine Learning Mathematics Physics Python R Research Rust Scala
Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex vacation Health care Salary bonus Startup environment Team events
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