What you bring

• Ph.D. in a relevant area, with a minimum of 6 years of post-Ph.D. experience across industry and academia.
• Ample ML research experience, in academia and/or industry, in fields such as recommender systems, causal inference, machine cognition (e.g., NLP, CV), fairness, explainability, statistical learning, reinforcement learning, optimization, operations research, algorithmic game theory, or economics and computation
• A track record of bringing clarity to and leading ambitious research projects inspired by real-world challenges
• Demonstrates mastery of your technical area through extensive experience evaluating and introducing new methods - either by developing them or keeping pace with industry developments
• Regarded as a role model both because of your technical expertise as well as the impact you drive
• Excellent judgment in identifying and framing ambiguous opportunities and is consistently sought out by stakeholders for guidance, problem-solving, and decision-making
• Passion for collaboration and building solid relationships with colleagues and stakeholders to tackle big, cross-functional problems
• Exceptional communication with a wide variety of technical and non-technical stakeholders 
• Self-motivated to build, with an ability to thrive with minimal oversight and process
• Uplevels the greater org through sharing knowledge and guiding thought on the adoption of new ML methodologies.  Actively mentors others and is sought out as a mentor
To learn more about our work, visit our research page.