The Walt Disney Company (France)
Principal Machine Learning Engineer, Research - Ad Platforms
The Walt Disney Company (France), Santa Monica, California, United States, 90403
Disney Entertainment & ESPN Technology
On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology
Building the future of Disney’s media business:
DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come. Reach & Scale:
The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation:
We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building,
enhancing
and
maintaining
the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and
maintain
proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the
integrations internal and external
that come with evolving and
maintaining
a best-in-class video advertising business. The
Ad Platform research
team is under Ad Platforms
and its mission is to transform advertising and Disney's Ad platform with AI
and data science
. We build solutions to measure and
optimize
every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions
for
machine learning
and data science
. Our team is seeking a
principal
machine learning engineer
who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms.
If you
are someone who is
proactive, inquisitive, and innovative in
these
domains, this is a phenomenal role for you! WHAT YOU’LL DO Drive ground-breaking innovation and apply state of the art
AI and
machine learning in a variety of areas to
enhance
every aspect of advertising, including inventory
forecasting,
ad experience,
ad pacing,
pricing, targeting, and efficient ad delivery.
Invent and
iterate
novel solutions
for complex
ad
challenges
with
fast
turnaround.
Lead the
ad
algorithm architecture design and iteration of the advertising system
.
Develop
and implement
scalable and efficient
approaches
for large scale data analysis and model development.
Build and experiment new algorithms and models e
nd-to-end,
from
production rollout
to
continuous optimization.
Collaborate with engineering teams, product managers
, and
program managers
in an open
and creative environment.
Mentor team
members and
support
their technical
growth
.
Minimum
Qualifications Bachelors
in
computer science
or related field of study
10+
years of
relevant engineering
experience
working
experience
at
leading
technology
companies.
Strong
knowledge
of and experience implementing
AI/
ML technologies
,
mathematics
and statistics.
Ability to collaborate with and lead projects across cross-functional teams such as Product Management, Architecture, and other Engineering teams
Proficient
in
Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
Passion
ate
about
understand
ing
the ad business
,
apply
ing
advanced
research
to relevant
business scenario
s
, and seek
ing
innovation opportunities to enhance business effectiveness
.
Passion
ate
about
technology, open to interdisciplinary
collaborations
, and experience
d
in building data-driven services and applications.
A p
roven track record of thriving in a
fast-paced, data-driven,
and
collaborative
work
environment is required.
NICE-TO-HAVES MS or PhD(preferred) in computer science or equivalent experience
Experience in the advertising domain is preferred.
Experience in large scale machine learning.
Experience in LLM and
GenAI
.
Experience with forecasting
algorithm
is preferred.
Experience in digital video advertising or digital marketing domain
Experience with CTR/CVR model, generative AI
,
forecasting model.
Experience with feature store, audience segmentation and
MLOps
Experience with
Tensorflow
, Kubeflow or
Sagemaker
The hiring range for this position in Los Angeles, CA is $202,900-$272,100 per year, in Seattle, WA is $212,600-$285,100 per year, and in San Francisco, CA is $222,200-$297,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr
DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come. Reach & Scale:
The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation:
We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. Ad Platforms organization within Disney Entertainment and ESPN Technology is fully responsible for building,
enhancing
and
maintaining
the high-performance, distributed, microservice-based Advertising Platform across all of Disney online properties, including Hulu and ESPN+. We build and
maintain
proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the
integrations internal and external
that come with evolving and
maintaining
a best-in-class video advertising business. The
Ad Platform research
team is under Ad Platforms
and its mission is to transform advertising and Disney's Ad platform with AI
and data science
. We build solutions to measure and
optimize
every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions
for
machine learning
and data science
. Our team is seeking a
principal
machine learning engineer
who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms.
If you
are someone who is
proactive, inquisitive, and innovative in
these
domains, this is a phenomenal role for you! WHAT YOU’LL DO Drive ground-breaking innovation and apply state of the art
AI and
machine learning in a variety of areas to
enhance
every aspect of advertising, including inventory
forecasting,
ad experience,
ad pacing,
pricing, targeting, and efficient ad delivery.
Invent and
iterate
novel solutions
for complex
ad
challenges
with
fast
turnaround.
Lead the
ad
algorithm architecture design and iteration of the advertising system
.
Develop
and implement
scalable and efficient
approaches
for large scale data analysis and model development.
Build and experiment new algorithms and models e
nd-to-end,
from
production rollout
to
continuous optimization.
Collaborate with engineering teams, product managers
, and
program managers
in an open
and creative environment.
Mentor team
members and
support
their technical
growth
.
Minimum
Qualifications Bachelors
in
computer science
or related field of study
10+
years of
relevant engineering
experience
working
experience
at
leading
technology
companies.
Strong
knowledge
of and experience implementing
AI/
ML technologies
,
mathematics
and statistics.
Ability to collaborate with and lead projects across cross-functional teams such as Product Management, Architecture, and other Engineering teams
Proficient
in
Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
Passion
ate
about
understand
ing
the ad business
,
apply
ing
advanced
research
to relevant
business scenario
s
, and seek
ing
innovation opportunities to enhance business effectiveness
.
Passion
ate
about
technology, open to interdisciplinary
collaborations
, and experience
d
in building data-driven services and applications.
A p
roven track record of thriving in a
fast-paced, data-driven,
and
collaborative
work
environment is required.
NICE-TO-HAVES MS or PhD(preferred) in computer science or equivalent experience
Experience in the advertising domain is preferred.
Experience in large scale machine learning.
Experience in LLM and
GenAI
.
Experience with forecasting
algorithm
is preferred.
Experience in digital video advertising or digital marketing domain
Experience with CTR/CVR model, generative AI
,
forecasting model.
Experience with feature store, audience segmentation and
MLOps
Experience with
Tensorflow
, Kubeflow or
Sagemaker
The hiring range for this position in Los Angeles, CA is $202,900-$272,100 per year, in Seattle, WA is $212,600-$285,100 per year, and in San Francisco, CA is $222,200-$297,900. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr