Sr. Staff/Staff META ML Engineer


April 1, 2021

San Francisco, CA 94103, US

Company Description
Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.
Job Description

Who we are:

We are a group of researchers and engineers working to help Twitter improve how we apply machine learning in a range of impactful systems, such as recommendations, safety, abuse detection, content understanding, and advertising. Our research team investigates these systems at scale with the goal of anticipating, discovering and identifying mitigations of any harmful impact they might have on our global community. Our engineering team leverages these findings to create solutions for relevant product owners.
We believe in the power of bringing diverse perspectives together and driving multidisciplinary collaboration. Our team operates at the intersection of machine learning, the social sciences, policy, legal and user research in collaboration with numerous partners from across Twitter.
What you will do:
You will apply your engineering expertise to help understand the implications of automated decision systems, as well as related societal and representational harms. Work with the team to conceptualize difficult problems, devise measurement and audit methodologies, work toward effective interventions, and propose more inclusive and fair alternatives to existing practices. You will lead projects to enable Twitter to better apply machine learning on its platform in a way that benefits all our customers and society at large. You will be contributing to strategic decisions and future roadmaps for products and technologies at Twitter.
You’ll partner with other META leaders (EM, PM, Sr Researchers) and work with our product teams, researchers, and engineers to build a high-value roadmap of innovation for your organization. You will lead by example to build your team culture in keeping with Twitter’s culture. You will partner with Engineering Managers in multiple organizations across Twitter and guide engineers with your technical expertise by contributing to design reviews and ideation. You will help mentor, coach and grow people.

Who you are:

You have a broad knowledge of machine learning as applied to social systems, as well as deep domain expertise in a relevant application area. You are passionate about applying your skills to difficult problems and drive real-world impact. You are a recognised expert in your field and your colleagues seek your advice and mentorship. You have an established reputation in the community and have presented at conferences and workshops. You proactively identify problems as well as opportunities, formulate machine learning problems and drive products to address them. You are able to communicate effectively with your partners and have the experience to guide and mentor others.

  • Senior level experience and MS or PhD

  • 10+ years of industry experience as a hands on expert-level practitioner of machine learning.

  • 5+ years of experience leading large ML initiatives across cross functional teams in multiple organizations.

  • Track record of building and maintaining large-scale machine learning systems in production.

  • Track record of conceiving significant innovations that result in substantial positive impact to customers.

  • Deep understanding of the latest developments of ML systems, techniques, open source, and cloud offerings

  • Fluent in one or more object-oriented language

Additional Information

This role accepts applications for work in the locations as noted above. Roles listing 'Remote US' as a location are not currently available in the following states: Colorado, Iowa, and Louisiana

All your information will be kept confidential according to EEO guidelines. 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.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.