Walt Disney
Principal Machine Learning Engineer
Walt Disney, Santa Monica, California, United States, 90403
Job Posting Title:Principal Machine Learning Engineer Req ID:10092711 Job Description:Disney Entertainment & ESPN TechnologyOn 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 TechnologyBuilding 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.
User State and Familiar PersonalizationThe User State and Familiar personalization team builds critical User Capabilities that are shared across all experiences on the streaming services: Disney+, Hulu, ESPN+ and Star+. We implement reliable, high-throughput services and pipelines for gathering information about our
users,and
delivering personalized experiences.
We're
a fast-paced, dynamic,
collaborative
and fun team, and are looking for someone who can slot right in and start delivering from day 1.J
ob Summary:As a Principal ML Engineer in the User Foundations team, you will be partnering closely
with the Engineering, Architecture, and Product teams to develop models for tackling a
multitude of exciting challenges, including personalization, fraud, account sharing
detection. We look for someone with deep analytical and modeling expertise
, a proven
track record of thought leadership and eagerness to drive impact. Your work will
impact
Disney+, Hulu and ESPN.Responsibilities and Duties of the Role:Modeling: Design, build and improve machine learning models. Work end to end
From data collection, feature generation and selection, algorithm development,
Forecasting, visualization and communicating of model results.
Collaborate with
engineering to
produce
models. Drive experimentation to test impact of
model-based optimization.
Deep analysis: Develop comprehensive understanding of audience, brand and
a sset data structures. Mine large data sets to
identify
opportunities for driving
Engagement and performance
Visualization of Complex Data sets: Development of prototype solutions,
Mathematical models, algorithms, and robust analytics leading to actionable
Insights communicated clearly and visually.
Partnership: Partner closely with stakeholders to
identify and unlock opportunities, and with other data teams to improve platform capabilities around
Data modeling, data visualization,
experimentation
and data architecture.
Basic QualificationsBachelor's degree in Computer Science
, Information Systems, Software, Electrical
or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Minimum of 10 years of experience designing, building, deploying data pipelines and applications
Proven experience building machine learning solutions
Excellent analytical skills, advanced level of statistics knowledge
Strong
expertise
with Python and libraries such as scikit-learn, SciPy
Familiarity with data platforms and applications such as Databricks,
Jupyter
,
Snowflake, Airflow,
Github
Familiarity with designing and analyzing A/B testing and other experiment types
Ability to adapt quickly in a fast-moving environment with shifting priorities
Strong communication
skills, for both technical and non-technical audiences
Ability to handle multiple tasks concurrently and
in a timely manner
, including large and complex ones
Demonstrated leadership experience, including people and project management
Preferred Qualifications:Master's or
Ph.D
degree in Computer Science, Information Systems, Software,
Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
The hiring range for this position in Santa Monica, CA is $199,000.00 266,800.00. 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. Job Posting Segment:Product & Data Engineering Job Posting Primary Business:PDE - Data Platform Engineering Primary Job Posting Category:Machine Learning Employment Type:Full time Primary City, State, Region, Postal Code:Santa Monica, CA, USA Alternate City, State, Region, Postal Code:USA - CA - Market St Date Posted:2024-07-03#J-18808-Ljbffr
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 TechnologyBuilding 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.
User State and Familiar PersonalizationThe User State and Familiar personalization team builds critical User Capabilities that are shared across all experiences on the streaming services: Disney+, Hulu, ESPN+ and Star+. We implement reliable, high-throughput services and pipelines for gathering information about our
users,and
delivering personalized experiences.
We're
a fast-paced, dynamic,
collaborative
and fun team, and are looking for someone who can slot right in and start delivering from day 1.J
ob Summary:As a Principal ML Engineer in the User Foundations team, you will be partnering closely
with the Engineering, Architecture, and Product teams to develop models for tackling a
multitude of exciting challenges, including personalization, fraud, account sharing
detection. We look for someone with deep analytical and modeling expertise
, a proven
track record of thought leadership and eagerness to drive impact. Your work will
impact
Disney+, Hulu and ESPN.Responsibilities and Duties of the Role:Modeling: Design, build and improve machine learning models. Work end to end
From data collection, feature generation and selection, algorithm development,
Forecasting, visualization and communicating of model results.
Collaborate with
engineering to
produce
models. Drive experimentation to test impact of
model-based optimization.
Deep analysis: Develop comprehensive understanding of audience, brand and
a sset data structures. Mine large data sets to
identify
opportunities for driving
Engagement and performance
Visualization of Complex Data sets: Development of prototype solutions,
Mathematical models, algorithms, and robust analytics leading to actionable
Insights communicated clearly and visually.
Partnership: Partner closely with stakeholders to
identify and unlock opportunities, and with other data teams to improve platform capabilities around
Data modeling, data visualization,
experimentation
and data architecture.
Basic QualificationsBachelor's degree in Computer Science
, Information Systems, Software, Electrical
or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Minimum of 10 years of experience designing, building, deploying data pipelines and applications
Proven experience building machine learning solutions
Excellent analytical skills, advanced level of statistics knowledge
Strong
expertise
with Python and libraries such as scikit-learn, SciPy
Familiarity with data platforms and applications such as Databricks,
Jupyter
,
Snowflake, Airflow,
Github
Familiarity with designing and analyzing A/B testing and other experiment types
Ability to adapt quickly in a fast-moving environment with shifting priorities
Strong communication
skills, for both technical and non-technical audiences
Ability to handle multiple tasks concurrently and
in a timely manner
, including large and complex ones
Demonstrated leadership experience, including people and project management
Preferred Qualifications:Master's or
Ph.D
degree in Computer Science, Information Systems, Software,
Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
The hiring range for this position in Santa Monica, CA is $199,000.00 266,800.00. 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. Job Posting Segment:Product & Data Engineering Job Posting Primary Business:PDE - Data Platform Engineering Primary Job Posting Category:Machine Learning Employment Type:Full time Primary City, State, Region, Postal Code:Santa Monica, CA, USA Alternate City, State, Region, Postal Code:USA - CA - Market St Date Posted:2024-07-03#J-18808-Ljbffr