Director AI Data Labeling
Company: Amazon.com, Inc.
Location: Palo Alto
Posted on: May 3, 2021
As the Director of AI Data Labeling you will lead a
geographically distributed, multi-disciplinary team that is
responsible for building and operating a scalable, world-class,
multi-tenant, high-throughput, high-fidelity data labeling
infrastructure. This role requires the ability to lead a team of
machine learning (ML) applied scientists, software engineers,
statisticians, economists, in-house labelers, product, and program
managers. The team builds new software systems, explores new
scientific approaches, defines and improves operational processes,
and optimizes significant resource investments (people, vendor and
compute budgets). The role requires strong operational skills to
manage programs and guide product management to consolidate
different labeling systems across Search, create a product roadmap
that meets the needs of Search and other Amazon Consumer teams, and
scale the product while meeting all internal customer needs for
labeled data. This role is an opportunity to lead a fast growing
area delivering labels for ML applications through a mixture of ML
algorithms and human judges. It is an active area of research that
will continue to evolve quickly over the next few years and we are
looking for a leader at the forefront of this exciting
- Masters in machine learning, natural language processing,
computer vision, statistics, econometrics, or related fields.
- 15+ years of experience in applying and improving machine
learning systems with strong science and engineering ability.
- 10+ years of leadership and team management experience
including hiring and developing both managers and ICs in the field
across several international locations.
- Experience in selecting and managing vendors for textual,
image, and video data annotation, classification, or
- Experience working with multiple teams to identify their needs,
and prioritize building the right features to support a diverse
spectrum of use-cases keeping customer focus a priority.
- Experience building data labeling at scale, using state of the
art algorithms like reinforcement learning to improve datasets,
have experience in building scalable data-centric systems, and
building systems and processes to connect internal systems to
- PhD in machine learning, natural language processing, computer
vision, statistics, econometrics, or related fields.
- Experience managing remote team members.
- Strong organizational planning and development experience in
order to scale the business to keep pace with Amazon's growth
- This leader will have a strong record of hiring and developing
the best talent.
Amazon is an Equal Opportunity-Affirmative Action Employer -
Minority / Female / Disability / Veteran / Gender Identity /Sexual
Orientation / Age
Keywords: Amazon.com, Inc., Palo Alto , Director AI Data Labeling, Other , Palo Alto, California
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