Engineering Manager, Machine Learning - Ads Ranking
Posted on: May 24, 2020
By applying for this role, you could choose to work in the
US - Remote US
New York City
San FranciscoWho We Are
We are a team of ML software engineers that are responsible for
placing each and every ad that Twitter serves. The mission of our
team is to make ads as relevant at the moment as organic content
through the state-of-the-art ranking of ads. Our team is
responsible for building the machine learning models that predict
the engagement for an ad given the signals from the advertiser and
the user and owns the end to end service for serving the
predictions as well. The ads ranking is the most critical component
in delivering personalized experience for the user and is driving
top line business metrics for the company. Our team is responsible
for the majority of the revenue that Twitter business generates and
we routinely deliver revenue improvements that contribute to the
success for the company. We work in a close sync with our executive
staff (including our GM, CFO, and VP of Sales).
What You'll Do
You'll join the ads ranking team and lead a world-class team of
Machine Learning engineers. We're looking for a hands-on, technical
manager with a real passion for working on user-facing products.
The ideal candidate would be equally comfortable guiding the
development of models to rank ads and predict engagement, white
boarding new product ideas with designers and product managers, or
brainstorming ways to efficiently index and serve ads with systems
Who You Are
You are an engineering manager with a strong background in
engineering. You are principled and are looking to play a critical
role at a very public company operating a multi-billion dollar
business. You have a track record of establishing long-term visions
for teams and then making them successful against those visions.
You lead, manage and mentor contributors on your team. You're
skilled at communicating the results of technical work to
executives, as well as proactively changing priorities and tactics
for your team in response to strategic changes at the executive
- Establish the vision and mission of where the ads marketplace
team will be one year from now.
- Be an engineering and machine learning talent magnet to make
the team successful in your established mission
- Mentor the professional development of each direct report
through personal and performance management.
- Give engineers the tools, confidence, and motivation to make
decisions independently that lead to the recognition of your
engineers and the team.
- Facilitate the use of data and evangelize data-driven practices
across that ads organization.
- Be responsible for the team's technical strategy and roadmap -
creating success metrics in close collaboration with other
Engineering and Product Managers.
- Previously managed a team of 5+ contributors and has 2+ years
of management experience. Experience with building products, taking
them to the market and iterating and improving them over time.
- Previous experience as a machine learning engineer individual
contributor or manager of data scientists/machine learning
- Previous experience as a software engineer individual
contributor or manager of software engineers.
- Familiarity with basic fundamentals of probability theory and
- BS computer science, machine learning, statistics, mathematics
or natural science.
- Past experience in ad tech
- PhD in computer science, mathematics, machine learning, or
related quantitative field.
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
San Francisco applicants: Pursuant to the San Francisco Fair Chance
Ordinance, we will consider for employment qualified applicants
with arrest and conviction records.
Keywords: Twitter, Seattle , Engineering Manager, Machine Learning - Ads Ranking, Executive , Seattle, Washington
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