Lead Machine Learning Engineer

1 Week ago • 7-7 Years • Data Analyst • $167,700 PA - $246,400 PA

Job Summary

Job Description

Lead the research, development, implementation, and optimization of recommendation and personalization algorithms for Disney's streaming products. Develop and maintain ETL pipelines using tools like Airflow and Jenkins, and build scalable data pipelines for petabyte-scale datasets. Own and expand the central feature store powering ML use cases across various domains. Collaborate with product and business stakeholders to identify new personalization opportunities and improve data collection, experimentation, and analysis. Maintain algorithm development, testing, and deployment standards. Work on event and context processors to federate data and build event-driven ML pipelines.
Must have:
  • 7+ years ML model development experience
  • 7+ years production-level code (Python, Scala)
  • 5+ years experience deploying production algorithms
  • Deep understanding of modern ML methods
  • Experience with AWS, Docker, Airflow, Databricks
  • Strong communication skills
Good to have:
  • MS or PhD in related field
  • Experience with content recommendation algorithms
  • Full-stack ML pipeline experience
  • Experience with Kafka, Spark, or Flink
  • Familiar with metadata management and data governance

Job Details

Job Summary:

Disney Entertainment & ESPN Technology

On 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 analysis

What You Will Bring

Basic 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 skills

Preferred 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, Databricks

Required 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 $167,700- $224,900 per year and in San Francisco, California is $183,700- $246,400 per year. The hiring range for this position in New York and Seattle, Washington is $175,800 - $235,700 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.

Similar Jobs

GT - Full-stack Engineer (Python + React.js)

GT

Poland (Remote)
6 Days ago
ION - Senior Java Developer - Italy

ION

Milan, Lombardy, Italy (On-Site)
5 Months ago
NVIDIA - Senior Software Engineer

NVIDIA

Ra'anana, Center District, Israel (On-Site)
2 Months ago
PhonePe - Software Engineer - Test (4-6yrs) - (Pune)

PhonePe

Pune, Maharashtra, India (On-Site)
4 Months ago
The Walt Disney Company - Sr Software Engineer (Roku/BrightScript/SceneGraph)

The Walt Disney Company

Santa Monica, California, United States (On-Site)
4 Months ago
Netflix - Senior Data Engineer, Commerce Insights and Data Products Engineering

Netflix

Mexico City, Mexico City, Mexico (On-Site)
1 Month ago
Rush Street Interactive - Game Integrity Analyst

Rush Street Interactive

United States (Remote)
1 Month ago
Logitech - Program Data Analyst

Logitech

Shenzhen, Guangdong Province, China (Hybrid)
4 Months ago
Gaming Innovation Group  - Big Data Engineer

Gaming Innovation Group

Manchester, England, United Kingdom (Hybrid)
6 Days ago
Brillio - Senior Data Specialist- R01531001

Brillio

Bengaluru, Karnataka, India (Hybrid)
5 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

NVIDIA - Senior DevOps Engineer, Deep Learning Frameworks

NVIDIA

Warsaw, Masovian Voivodeship, Poland (On-Site)
2 Months ago
Playtech - Dev Ops Engineer

Playtech

London, England, United Kingdom (On-Site)
3 Months ago
NVIDIA - GPU Verification Architect

NVIDIA

Santa Clara, California, United States (On-Site)
2 Months ago
Riot Games - Software Engineering Manager - Content Access Platform

Riot Games

Dublin, County Dublin, Ireland (On-Site)
1 Week ago
ION - Principal Software Engineer, Italy

ION

Pisa, Tuscany, Italy (On-Site)
5 Months ago
Next Level Business Services - Xymon Integration Engineer

Next Level Business Services

Mount Laurel Township, New Jersey, United States (On-Site)
5 Months ago
ION - Senior C++ Developer, Italy

ION

Rome, Lazio, Italy (On-Site)
5 Months ago
ION - Senior C++ Developer, Italy

ION

Turin, Piedmont, Italy (On-Site)
5 Months ago
CloudHire - Salesforce Developer L5/6 (Vlocity)

CloudHire

Hyderabad, Telangana, India (Remote)
6 Days ago

Get notifed when new similar jobs are uploaded

Jobs in San Francisco, California, United States

PwC - Consultor Legal

PwC

Panama City Beach, Florida, United States (On-Site)
6 Months ago
Samsung Semiconductor - Principal Engineer, CPU Microarchitecture

Samsung Semiconductor

San Jose, California, United States (Hybrid)
6 Days ago
NVIDIA - Senior Circuit Methodology Engineer

NVIDIA

California, United States (Hybrid)
3 Weeks ago
Discord - Account Executive - Mobile Gaming

Discord

United States (Remote)
2 Months ago
Hypixel Studios - Principal Engineer - Project Technical Lead

Hypixel Studios

Seattle, Washington, United States (Remote)
5 Months ago
Company3 Method Studios - Sr. Systems Engineer (Avid)

Company3 Method Studios

New York, New York, United States (On-Site)
5 Days ago
Onward Search - A11y Accessibility Designers

Onward Search

Norwalk, Connecticut, United States (On-Site)
4 Months ago
seeking alpha - Senior Product Manager - Investing groups

seeking alpha

United States (Remote)
3 Months ago
Meta - ASIC Engineer, Design

Meta

Austin, Texas, United States (On-Site)
4 Months ago
Dun & Bradstreet - Account Executive, Outbound - Manage (R-16769)

Dun & Bradstreet

Jacksonville, Florida, United States (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

Data Analyst Jobs

DraftKings - Analyst II, Compliance

DraftKings

Boston, Massachusetts, United States (On-Site)
3 Weeks ago
Next Level Business Services - Talend Developer

Next Level Business Services

Scottsdale, Arizona, United States (On-Site)
5 Months ago
Hike - Senior Analytics Manager

Hike

Delhi, India (Remote)
3 Days ago
Ubisoft - Data Scientist Assistant Internship

Ubisoft

Paris, Île-de-France, France (On-Site)
1 Week ago
Trendyol - Data Science Professionals (Computer Vision & NLP)

Trendyol

İstanbul, İstanbul, Türkiye (Hybrid)
3 Months ago
prizepicks - Engineering Manager — Data Science Engineering

prizepicks

Atlanta, Georgia, United States (Remote)
1 Week ago
Virtusa - Data Scientist

Virtusa

Andhra Pradesh, India (On-Site)
6 Months ago
Whatnot - Director, Data Science (Revenue Analytics)

Whatnot

Los Angeles, California, United States (Remote)
5 Months ago
Voodoo - Experienced Data Analyst

Voodoo

Paris, Île-de-France, France (Hybrid)
2 Months ago
Electronic Arts - Data Analyst

Electronic Arts

Madrid, Community Of Madrid, Spain (Hybrid)
3 Weeks ago

Get notifed when new similar jobs are uploaded

About The Company

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!

The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…

What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

Anaheim, California, United States (On-Site)

Lake Buena Vista, Florida, United States (On-Site)

Hong Kong (On-Site)

Papenburg, Lower Saxony, Germany (On-Site)

Hong Kong (On-Site)

Île-de-France, France (On-Site)

Île-de-France, France (On-Site)

Île-de-France, France (On-Site)

Île-de-France, France (On-Site)

Île-de-France, France (On-Site)

View All Jobs

Get notified when new jobs are added by The Walt Disney Company

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug