Job Description
You will collaborate with machine learning researchers and engineers to provide social science-based support/guidance for Twitter’s core ML efforts, based on a deep technical and understanding of product and relevant social science. That means you’ll identify areas where machine learning can have the greatest impact, define problems, generate and test hypotheses, and develop clear success metrics. Specifically, the work will involve exploratory analysis, identifying high-impact data sets & model features, critical review of offline and online model performance, building proof of concepts, and integrating experimentation and observational causal inference in the ML process. It also means helping to measure the business impact of ML improvements.
You will work closely with our partners in Cortex and in the broader Product, Engineering, Design, and Research organizations. Cortex is a community of Machine Learning Researchers and Engineers, working to help Twitter leverage and advance ML through practical / product-driven problem spaces in a range of systems such as recommendations, safety, abuse, content understanding (NLP), ads, and more
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.