Staff Product Manager - Machine Learning Ethics, Transparency and Accountability
Job Description
WHO WE ARE: The Machine Learning Ethics, Transparency & Accountability team, known as META, sits within Cortex, Twitter’s centralized Machine Learning organization. The team is responsible for investigating the fairness and transparency of Twitter’s automated algorithmic decision making systems.
We believe in the power of bringing multiple perspectives together. The Machine Learning Ethics, Transparency & Accountability team operates at the intersection of Machine Learning, Social Science, Policy, Legal and User Research in collaboration with numerous partners from across Twitter.
WHAT YOU’LL DO: The product manager for the META team will be responsible for establishing the team’s research strategy and supporting their day-to-day execution against it. They will work closely with product managers from across the company to help understand the implications of automated decision systems, working with the team to help them craft and implement solutions to mitigate bias issues. They will act as a trusted specialist advisor to leadership on strategic matters relating to Machine Learning Ethics, Transparency & Accountability, and communicate findings to the rest of the company and, when appropriate, to the academic community. They will help us develop standard methodologies for responsible Machine Learning product development across the organization and drive product strategy for a team of engineers and researchers on everything related to Machine learning Ethics, Transparency & Accountability at Twitter, motivating product decisions.
Qualifications
WHO YOU ARE: Twitter is looking for an experienced technical product leader with domain expertise to drive our strategy for ensuring that Twitter’s use of Machine Learning is ethical, transparent and unbiased. They should have both a deep technical background and a strong, customer-centric approach to product management, which they will have repeatedly demonstrated through past projects. As the Machine Learning Ethics, Transparency & Accountability team is a part of our centralized Machine Learning organization, they should also be experienced with crafting roadmaps that serve internal customers and be able to use a strong toolbox of tried and tested processes for ensuring effective communication teamwork across organizations.
To be a good match, this person probably has:
QUALIFICATIONS:
Additional Information
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.