Machine Learning Engineering Manager - Health

The Position

Are you an Engineering leader who’s passionate about applying Machine Learning to defend online users against abuse and inauthentic expression to improve the health of public conversation? Do you love working on challenging problems that require a multi-disciplinary approach, creative solutions, and rapid product iteration? Will you be proud to work on real-time, scalable systems that serve millions of users daily? If so, you should join us.

 

Who We Are

The Health teams are responsible for building scalable detection and remediation systems that help identify and mitigate abuse and inauthentic expression on the platform. Our team's mission is to keep our users safe from negative experiences in a highly adversarial environment. We work across the product to detect abusive users and content, increase action on abusive or manipulative accounts, drive change in user behaviour, and detect and remediate accounts that are violating the terms of service on Twitter. As a manager in Health, you’ll be working on our company's priority: growing the collective health, openness, and civility of public conversation on Twitter.

 

What You’ll Do 

We believe passion and personality matter. We look for someone who can lead teams of diverse, talented, and driven applied ML engineers while balancing personnel challenges with business requirements. We need leaders who take active roles in shaping the future of Twitter engineering while embodying our core values. A successful engineering manager will:

  • Lead a team of motivated ML engineers who like to build models, ship product integrations, and tackle hard engineering and societal problems.

  • Build cohesive, high-functioning teams that thrive in a culture of trust, respect, and inclusion.

  • Balance autonomy with guidance by giving your teams the tools, context, confidence, and motivation to make decisions effectively and independently.

  • Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of bad incidents.

  • Take responsibility for the group’s short-term and long-term strategy. Define the team's roadmap, success metrics, and priorities in close collaboration with other engineering teams and multi-functional partners. Maintain a balance between building sustainable, high-impact projects and shipping things quickly.

  • Own your team’s deliverables and ensure we continue to ship scalable, highly-available products that delight our users and customers.

  • Initiate collaboration across Engineering, Product, Design, Research, User Services, Trust & Safety, Legal, and Comms to develop high-quality end-to-end user experiences and inspire your team to independently do the same.

  • Work closely with the Twitter recruiting team to hire high-potential candidates from diverse backgrounds.

Qualifications

Who You Are

  • You have experience leading engineers at all levels and you’re skilled at coaching and guiding your directs through their career development.

  • You believe in building both teams and products that scale.

  • You have experience with building and deploying end-to-end ML solutions that deliver product value.

  • You have a technical background and are able to contribute to planning and design discussions.

  • You are excited to engage cross-functional partners to help achieve a common goal for our users.

  • You have a collaborative working style with a strong focus on disciplined execution and results.

  • You like to ground decisions in data and reasoning and solve root causes of problems rather than surface issues.

  • You are adept at communicating relevant information clearly and concisely.

  • You look ahead to identify opportunities and foster a culture of innovation.
     

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 a 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.

Team

Machine Learning, Software Engineering

Location

London, Dublin, Berlin, Remote Spain, Remote Switzerland, Brussels, Remote Scotland

 

Application

U.S. Equal Employment Opportunity information (Completion is voluntary)
Non U.S. Equal Employment Opportunity information (Completion is voluntary)
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