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META Applied Engineering Manager

Company: Twitter
Location: Boulder
Posted on: June 12, 2021

Job Description:

The Position

What You'll Do:

You will lead diverse, smart, and driven engineers while balancing fairness considerations with business requirements. You will communicate fearlessly and take an active role in shaping the future of Twitter engineering while embodying our core values. You will work with our leadership, machine learning engineers, researchers, designers and PM to understand implications of automated decision systems and to ensure that existing ML systems are fair and equitable. Your responsibilities will include:

  • Mentoring: Mentor the professional development of each direct report through personal and performance management. Establish regular 1:1s with direct reports. Craft individual improvement/goal plans with each direct report and ensure that they receive regular, documented feedback.

  • Advocating: Ensure that fairness and human rights stay at the center of Twitter's ML systems. Share and educate others about METAs mission (see above) and how we can effectively partner to ensure the work of the META team can accelerate and scale to all ML engineers at Twitter. Can understand, articulate and help others see tradeoffs between business metrics and fairness considerations.

  • Planning / Alignment: Contribute to product development for cross-functional work on ML ethics. Have the technical capacity to partner with tech leads and be comfortable diving into the fray to help drive resolution in the case of incidents.

  • Execution: Help define the right set of problems and success metrics to maximize impact and value to Twitter. Help team design and implement solutions to mitigate bias issues. Collaborate with leadership to develop standard methodologies for responsible ML product development across the organization, discussing the metrics impact & tradeoffs of product changes with senior leadership. Bring principled and methodical decision-making. Make decisions which balance between immediate impact and long-term bets, as well as managing resourcing and prioritization.

  • Relationship management: Manage relationships between other teams which you'll partner with to deliver impact. Communicate findings to the rest of the company and, when appropriate, to the academic community.

  • Cross functional management: Work closely with other teams from across the company to deliver impactful projects which may involve multiple disciplines. Also work with other managers in the workplace to build upon the office culture and ensure a healthy workplace environment.

  • Recruitment: Help hire new and diverse talent - help with sourcing and selling to candidates as well as vetting them for the team. Provide innovative solutions for both attracting and retaining top talent.

Qualifications

Who you are

  • Well versed in how machine learning systems at scale affect the real world and want to make an impact.

  • Excited about helping transform Twitter's engineering culture to one that is centered around fairness and human rights. Excited about working in a nascent field, comfortable navigating many unknown unknowns.

  • A leader and strong people manager looking to serve the team and achieve team goals.

  • A strong source of engineering talent and are comfortable closing applicants for your team and the business. You have experience leading engineers at all levels and you're skilled at coaching and guiding your directs through their career development.

  • You have technical competency and understand the "big picture", differences in technical disciplines (particularly on ML side), and which problems can be tackled next.

  • You have a proven execution track record that is customer and user centric in prioritisation - looking to deliver projects that serve the company's needs and understand the impact.

  • You are a good communicator, clear and concise. You do active listening and have empathy skills.

  • You collaborate well with teams with different backgrounds / expertise / functions.

  • You bring a strong perspective that motivates both researchers and engineers to develop simple, pragmatic solutions to complex problems.

  • You have the technical capacity to partner with tech leads and are comfortable diving into the fray to help drive resolution.

  • Have a passion for scientific method of hypothesis validation and the systems thinking to scale learnings.

  • Have a sense of urgency, move quickly and ship things.You have a get stuff done attitude, have great positive energy and thrive in fast-paced environments where the only constant is change.

  • Passionate about technology and can keep up with the latest.

Requirements:

  • 2years + experience managing a team of 3 or more.

  • Expectations for senior leveling:
  • Previously managed multiple teams of 8 or more engineers

  • Minimum of 5+ years in software engineering management (could be less - 3-4 years) if you have several years of experience moving up as an IC into leadership roles or had significant leadership responsibilities.)

  • Interest in ML ethics & accountability.

  • Computer science or engineering background strongly preferred; a background in computational social science is a plus. Strong analytical abilities is a must.

  • Experience driving impact through cross-functional leadership.

  • Exceptional written and verbal communication skills and able to manage multiple projects across a diverse set of stakeholders.

  • You have a get stuff done attitude, have great positive energy, and thrive in a fast paced environment.

  • You are passionate about ethics and fairness and can keep up with the latest findings in the field and latest technologies and best practices.

  • Exposure to large scale systems and microservice architectures is a plus.

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.

Who we Are:

META (Machine learning Ethics, Transparency and Accountability) is a 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, Legal, User Research and engages with numerous stakeholders across Twitter.

Our Mission:

Twitter's ML systems are fair, transparent, and accountable. We have easy to use tools, well established investigation methodologies and frameworks to understand and mitigate the bias in our products powered by ML.

Keywords: Twitter, Boulder , META Applied Engineering Manager, Other , Boulder, Colorado

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