Lead Machine Learning Engineer
Company: Disney Entertainment & ESPN Technology
Location: Santa Monica
Posted on: October 10, 2024
Job Description:
Disney Entertainment & ESPN TechnologyOn any given day at Disney
Entertainment & ESPN Technology, we are 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 is 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 would love
working for Disney Entertainment & ESPN Technology
- Building the future of Disney's media business: DE&E
(Disney Entertainment & ESPN) 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.The vision of the Machine
Learning (ML) Engineering team at Disney is to drive and enable ML
usage across several domains in heterogeneous language environments
and at all stages of a project's life cycle, including ad-hoc
exploration, preparing training data, model development, and robust
production deployment. - The team is invested in continual
innovation on the ML infrastructure itself to carefully orchestrate
a continuous cycle of learning, inference, and observation while
also maintaining high system availability and reliability. We seek
to maximize the positive business impact of all ML at Disney
streaming by supporting key product functions like personalization
and recommendation, fraud and abuse prevention, capacity planning,
subscriber growth and lifecycle intelligence, and so on.In this
role You will be expected to lead recommendation and
personalization algorithm research, development, implementation,
and optimization for product areas, and work on event and context
processors to federate data, infrastructure and tooling to enable
event-driven ML pipelines. You will own and expand part of our
central feature store that powers ML use cases in domains like
recommendations, search and fraud. You will work on
cross-functional projects and push the envelope on data and ML
infrastructure.What You Will Do
- Algorithm Development and Maintenance: Utilize cutting edge
machine learning methods to deploy and develop algorithms for
personalization, recommendation, and other predictive systems;
maintain algorithms deployed to production and be the point person
in explaining methodologies to technical and non-technical
teams
- Feature Engineering and Optimization: Develop and maintain ETL
pipelines using orchestration tools such as Airflow and Jenkins;
deploy scalable streaming and batch data pipelines to support
petabyte scale datasets
- Development Best Practices: Maintain existing and establish new
algorithm development, testing, and deployment standards
- Collaborate with product and business stakeholders: Identify
and define new personalization opportunities and work with other
data teams to improve how we do data collection, experimentation
and analysisWhat You Will BringBasic Qualifications
- 7+ years of relevant experience developing machine learning
models, performing large-scale data analysis, and/or data
engineering experience
- 7+ years of experience writing production-level, scalable code
(e.g. Python, Scala)
- 5+ years of experience developing algorithms for deployment to
production systems
- In-depth understanding of modern machine learning (e.g. deep
learning methods), models, and their mathematical
underpinnings
- Experience deploying and maintaining pipelines (AWS, Docker,
Airflow) and in engineering big-data solutions using technologies
like Databricks, S3, and Spark
- Strong written and verbal communication skillsPreferred
Qualifications
- MS or PhD in statistics, math, computer science, or related
quantitative field
- Production experience with developing content recommendation
algorithms at scale
- Experience building and deploying full stack ML pipelines: data
extraction, data mining, model training, feature development,
testing, and deployment
- Ability to gauge the complexity of machine learning problems
and a willingness to execute simple approaches for quick, effective
solutions as appropriate
- Familiar with metadata management, data lineage, and principles
of data governance
- Experience loading and querying cloud-hosted databases
- Building streaming data pipelines using Kafka, Spark, or
Flink
- Experience with: AWS, Docker, Airflow, DatabricksRequired
Education -
- Bachelor's Degree in Computer Science, Mathematics, Statistics,
or related quantitative field or comparable field of study, and/or
equivalent work experience.#DISNEYTECH
The hiring range for this position in Santa Monica, California is
$164,500 - 220,600 per year and in San Francisco, California is
$180,200 - $241,600 per year. The hiring range for this position in
New York and Seattle, Washington is $172,300 - $231,100 per year.
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.
Keywords: Disney Entertainment & ESPN Technology, South Whittier , Lead Machine Learning Engineer, Engineering , Santa Monica, California
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