META Applied Engineering Manager
Posted on: June 12, 2021
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,
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
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
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
- 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.
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
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
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
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
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
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
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
- Exposure to large scale systems and microservice architectures
is a plus.
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.
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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