Principal Applied Machine Learning Engineer (Personalization)
Company: Disney Media & Entertainment Distribution
Location: San Francisco
Posted on: August 7, 2022
|
|
Job Description:
Applied Machine Learning Engineers and Data Scientists on the
Disney Streaming Machine Learning and Innovation team develop and
maintain recommendation and personalization algorithms for Disney
Streaming's suite of streaming video apps, notably Disney+ and
Hulu. As a member of this team you will collaborate across
Engineering, Product, and Data teams to apply machine learning
methods to meet strategic product personalization goals, explore
innovative, cutting edge techniques that can be applied to
recommendations, and constantly seek ways to optimize operational
processes.
This is an Individual Contributor leadership role in content
recommendations. You will be expected to lead recommendation and
personalization algorithm research, development, and optimization
for particular product areas, and to coordinate requirements and
manage stakeholder expectations with Product, Engineering, and
Editorial teams. You will be expected to help meet KPIs for product
areas and to set and meet deadlines for external and internally
facing tools, such as offline evaluation tools for pre-production
algorithms. As an IC leader, you will also be responsible for
helping to set the roadmap for algorithmic work - not only for how
to approach product requests for new recommendation features, but
for helping to drive larger company objectives in the areas of
personalization and content recommendation.
--- Algorithm development and maintenance: Utilize cutting edge
machine learning methods to 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
--- Analysis and Algorithm Optimization: Perform deep dive analysis
on app interactions and user profiles as they relate to algorithm
output in order to drive improvements in key personalization
metrics
--- MVP development: Develop innovative machine learning products
to be used for new production features or downstream by production
algorithms
--- 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 analysis
Required Qualifications:
--- 10+ years of analytical experience
--- 8+ years of experience developing machine learning models and
performing data analysis with Python or R
--- 8+ years writing production-level, scalable code (e.g. Python,
Scala)
--- Bachelor's degree in statistics, math, computer science, or
related quantitative field
--- Experience developing algorithms for deployment to production
systems
--- Experience working cross functionally with technical and
non-technical teams to solve complex problems
--- In-depth understanding of modern machine learning (e.g. deep
learning methods), models, and their mathematical underpinnings
--- Experience with cloud services in a production environment
(particularly AWS)
--- Familiarity with data exploration and data visualization tools
like Tableau, Looker, Chartio, etc.
--- Understanding of statistical concepts (e.g., hypothesis
testing, regression analysis)
--- Ability to gauge the complexity of machine learning problems
and a willingness to execute simple approaches for quick, effective
solutions as appropriate
--- Strong written and verbal communication skills
--- Ability to explain how models are used and algorithms behave to
both technical and non-technical audiences
Preferred Qualifications:
--- MS or PhD in statistics, math, computer science, or related
quantitative field
--- Production experience with developing content recommendation
algorithms at scale
--- Production experience with graph based models (e.g.
node2vec)
--- Experience building and deploying full stack ML pipelines: data
extraction, data mining, model training, feature development,
testing, and deployment
--- Experience with graph-based data workflows such as Apache
Airflow
--- Experience engineering big-data solutions using technologies
like EMR, S3, Spark, Databricks
--- Familiar with metadata management, data lineage, and principles
of data governance
--- Experience loading and querying cloud-hosted databases such as
Snowflake
--- Building streaming data pipelines using Kafka, Spark, or
Flink
--- Familiarity with automated deployment, AWS infrastructure,
Docker or similar containers
Additional Information:
Location: New York, NY, San Francisco, CA or Seattle, WA preferred
but also open to US Remote for the right candidate
#DisneyTech
Keywords: Disney Media & Entertainment Distribution, San Francisco , Principal Applied Machine Learning Engineer (Personalization), Engineering , San Francisco, California
Click
here to apply!
|