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Senior Data Engineer (Machine Learning)

Warsaw, - - PL

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Job ID 769974BR Location Warsaw, Mazovia, Poland Business Disney Streaming Services Date posted Nov. 26, 2020

Job Summary:

Machine Learning Engineers in the Disney+ Personalization team specialize in applying machine learning
methods to meet strategic product personalization goals, explore innovative techniques that can be
applied to recommendations and constantly seek ways to optimize operational processes. As a member
of this team, you will collaborate across Data, Product, and Engineering teams to deeply understand
challenges and develop automated solutions to be built into our products.

Responsibilities:

● Process, cleanse, and verify the integrity of data used for model building, experimentation
evaluation and algorithm performance
● Build data pipelines as needed for feature engineering and the use of downstream machine
learning training
● Build and maintain automated machine learning workflows utilizing existing frameworks and
custom in-house designed solutions
● Build, maintain, and optimize machine learning infrastructure (e.g. compute resources,
deployment and performance monitoring tools) for algorithm development, testing, training,
and deployment
● Build experimentation tools for fast model evaluation and hyperparameter optimization
● Instrument tools for continuous integration and deployment of personalization,
recommendation, and other machine learning systems
● Extend existing libraries and frameworks or develop custom ones to facilitate model
development and promote code reusability
● Implement processes and resources (e.g. dashboards, slackbots) for monitoring of offline and
online model performance
● Establish and maintain algorithm development, testing, and deployment standards
● Educate team members and provide guidance on machine learning infrastructure and algorithm
development
● Perform deep-dive analysis on app interactions and events to better understand user
consumption behavior as it relates to personalization and recommendation.
● Collaborate with business stakeholders to help identify and define personalization
opportunities. Work with other data teams to improve our data collection, experimentation and
analysis.

Requirements:

● 5+ years writing production-level, scalable code (Python/Java/Scala)
● 5+ years of work experience using data processing and manipulation libraries and frameworks
(SQL, Spark, Pandas)

● Extensive experience with Amazon Web Services (specifically S3, EC2, RDS, Lambda, Batch, SNS,
SQS, IAM)
● Extensive experience with machine learning libraries (like scikit-learn) and frameworks (like
PyTorch, Keras)
● Experience building and deploying full-stack ML pipelines: data extraction, data mining, model
training, feature development, regression testing, testing, and deployment
● Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks
● Experience with automated deployment and continuous integration (GitHub, CI/CD tools,
Docker)
● Very good understanding of data structures, data modeling, and software architecture
● In-depth understanding of modern machine learning concepts, models, and their mathematical
underpinnings
● Familiarity with data exploration and data visualization tools like Looker, Tableau, Chartio, etc.
● Understanding of statistics 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 communication skills, as well as written and verbal presentation skills

Preferred Additional Skills:

● Experience with deep learning, NLP, and/or Bayesian modeling
● Experience with hyperparameter tuning methods and frameworks
● Experience with graph databases
● Experience with data workflow managers such as Apache Airflow
● Experience with web UI design and development (SPA, Javascript, backend web frameworks like
Django)
● Familiarity with statistical languages, libraries, and frameworks (R, Shiny)
● Familiarity 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 Kinesis, Kafka, Spark, or Flink

About Disney Streaming Services:

Disney Streaming Services is responsible for developing and operating The Walt Disney Company’s direct-to-consumer video businesses globally, including the ESPN+ premium sports streaming service; Disney+, the dedicated streaming home for entertainment from Disney, Pixar, Marvel, Star Wars, National Geographic and BAMTECH Media, a global leader in direct-to-consumer video streaming products and solutions. Our core mission is to deliver global audiences the freedom to access content on their terms across any connected device, time or location. We serve consumers by bringing the world’s most beloved characters, timeless stories, legendary athletes, and epic sporting events to global audiences through best-in-class direct-to-consumer video services. We strive daily to imaginatively challenge convention with innovative technology that gives consumers the freedom to access content on their terms across any connected device, time or location.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with The Walt Disney Company (Polska ) sp. z o.o., which is part of a business segment we call Disney Streaming Services.

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