ML Researcher - Meta Cortex

San Francisco, CA

Who we are

META (Machine learning Ethics, Transparency and Accountability) is a new, cross-functional team in Cortex focused on investigating the fairness and transparency of Twitter’s automated algorithmic decision making systems.

We believe in the power of bringing multiple perspectives together. META functions at the intersection of Machine Learning, Social Science, Policy, User Research and engages with multiple stakeholders across Twitter.

Who you are

Interested in how machine learning outcomes at scale affect the real world and want to make an impact.

Excited about working in a nascent field, with many unknown unknowns

Clear communicator and independent thinker

Requirements

Post-graduate degree and/or experience in machine learning or related fields

Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints

Experience with ML techniques and frameworks

What You’ll Do

Conduct research on real-world impact of machine learning predictions

Work closely with product teams to understand implications of automated decision systems

Suggest and implement solutions to mitigate issues

Communicate findings to the rest of the company and, when appropriate, to the academic community


Equal Opportunity Statement

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.


Engineering Hiring Process

Step 1

Once your application is received, a recruiter will reach out pending your qualifications are a match for the role.

Step 2

If your background is a match, you may have 1-2 technical phone interviews or be given the chance to provide a work sample depending on the role.

Step 3

If the phone interviews go well or your work sample is strong, the final step includes interviews with 5-6 people held onsite in our office.

Application

Personal Information

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