Senior Machine Learning Engineer

1 Month ago • 5-5 Years • Data Analyst • $138,900 PA - $203,900 PA

Job Summary

Job Description

This Senior Machine Learning Engineer role focuses on developing and maintaining recommendation and personalization algorithms for Disney+ and Hulu. Responsibilities include algorithm development and maintenance using cutting-edge machine learning methods; feature engineering and optimization with tools like Airflow and Jenkins; establishing algorithm development, testing, and deployment standards; collaborating with product and business stakeholders; and improving data collection, experimentation, and analysis. The role requires leading algorithm research, development, and optimization, coordinating with various teams, and contributing to company-wide personalization objectives. Experience with big data solutions (AWS, Docker, Airflow, Databricks, S3, Spark) is crucial.
Must have:
  • 5+ years ML model development experience
  • Production-level code (Python, Scala)
  • Algorithm deployment experience
  • Big data solutions expertise (AWS, Spark)
  • Strong communication skills
Good to have:
  • MS/PhD in relevant field
  • Content recommendation algorithm experience
  • Full-stack ML pipeline building
  • Metadata management knowledge

Job Details

Job Summary:

Disney Entertainment & ESPN Technology

On 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 Technology

  • Building 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.

Our team develops and maintains 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 role in content recommendations. You will be expected to lead recommendation and personalization algorithm research, development, and optimization for 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 a Sr Machine Learning Engineer, 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.

Responsibilities:

  • Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop and implement 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

  • Experience loading and querying cloud-hosted databases

  • Building streaming data pipelines using Kafka, Spark, or Flink

Basic Qualifications:

  • 5+ years of experience developing machine learning models, performing large-scale data analysis, and/or data engineering experience

  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

  • 5+ years writing production-level, scalable code (e.g. Python, Scala)

  • 3+ 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

  • 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

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

  • Familiar with metadata management, data lineage, and principles of data governance

#DISNEYTECH


The hiring range for this position in New York, NY & Seattle, WA is $145,400 - $195,000 per year, in Los Angeles, CA is $138,900 - $186,200 per year and in San Francisco, CA is $152,100 - $203,900 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

hogarth - QA Engineer

hogarth

Sunnyvale, California, United States (Hybrid)
4 Weeks ago
Mobiloitte - Android, Kotlin Tech Lead

Mobiloitte

New Delhi, Delhi, India (Remote)
2 Weeks ago
Enphase Energy - Staff Software Engineer

Enphase Energy

Bengaluru, Karnataka, India (On-Site)
5 Months ago
Philips - Software Technologist - DevOps

Philips

Bengaluru, Karnataka, India (On-Site)
4 Days ago
Luxoft - Data Engineer for Market Data Projects (with Streamlit Expertise)

Luxoft

Ukrainka, Kyiv Oblast, Ukraine (Remote)
6 Months ago
Nightfall AI - Endpoint Engineer

Nightfall AI

Bengaluru, Karnataka, India (On-Site)
7 Months ago
PwC - Senior Associate _Java Developer _Data & Analytics _Advisory _PAN India

PwC

Kolkata, West Bengal, India (On-Site)
8 Months ago
PwC - Data Architect – Technology Consulting

PwC

Prague, Prague, Czechia (On-Site)
7 Months ago
Crunchyroll - Senior Investigations Analyst

Crunchyroll

Los Angeles, California, United States (On-Site)
2 Months ago
Ubisoft - Regional Project Intelligence Director (Nordics & Romania)

Ubisoft

Malmö, Skåne County, Sweden (Hybrid)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

sitetracker - Senior Software Engineer

sitetracker

Austin, Texas, United States (Remote)
2 Years ago
Minecast - Senior Software Engineer - Full Stack

Minecast

Bengaluru, Karnataka, India (Hybrid)
3 Weeks ago
luxsoft - Senior Functional QA Engineer

luxsoft

Romania (Remote)
4 Weeks ago
luxsoft - Senior DevOps Consultant

luxsoft

Toronto, Ontario, Canada (On-Site)
2 Months ago
Intel  - GPU Validation Engineer

Intel

Bengaluru, Karnataka, India (Hybrid)
2 Weeks ago
Guardian - Engineer (Java)

Guardian

Gurugram, Haryana, India (On-Site)
3 Weeks ago
UXBERT Labs - Senior DevOps Engineer

UXBERT Labs

Riyadh, Riyadh Province, Saudi Arabia (Hybrid)
4 Months ago
Tesla - Data Scientist

Tesla

Brandenburg, Germany (On-Site)
3 Months ago
Kefir games - Build Engineer

Kefir games

Cyprus (On-Site)
7 Months ago

Get notifed when new similar jobs are uploaded

Jobs in New York, New York, United States

Zelis  - Senior Snowflake Platform Engineer

Zelis

Atlanta, Georgia, United States (Hybrid)
3 Weeks ago
Axon - Manager, Go-to-Market Readiness

Axon

Sterling, Virginia, United States (On-Site)
2 Weeks ago
Dungarvin - Mental Health Specialist II

Dungarvin

Brooklyn Center, Minnesota, United States (On-Site)
2 Weeks ago
HCL Tech - Chief Architect

HCL Tech

Massachusetts, United States (On-Site)
2 Weeks ago
Google - Software Engineer III, Engineering Productivity, Pixel

Google

Mountain View, California, United States (On-Site)
1 Month ago
Riot Games - HR Business Partner II

Riot Games

Los Angeles, California, United States (On-Site)
1 Month ago
conga - Sales Development Representative, Enterprise

conga

Broomfield, Colorado, United States (On-Site)
1 Month ago
Naughty Dog - Senior Communications Manager

Naughty Dog

Los Angeles, California, United States (On-Site)
1 Month ago
fluence - Compensation Program Manager

fluence

Houston, Texas, United States (Hybrid)
1 Month ago
PlayStation Global - Principal Multiplayer Systems Designer

PlayStation Global

United States (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Data Analyst Jobs

N-ix - Data Engineer (with Databricks)

N-ix

Poland (Remote)
2 Months ago
Nagarro - Staff Consultant, Business Analyst

Nagarro

India (Remote)
7 Months ago
Ubisoft - Senior ML Data Scientist

Ubisoft

Montreal, Quebec, Canada (On-Site)
4 Months ago
Brillio - Senior Data Specialist- R01531001

Brillio

Bengaluru, Karnataka, India (Hybrid)
7 Months ago
GoTo Group - Senior Data Warehouse Engineer (India)

GoTo Group

Gurugram, Haryana, India (On-Site)
7 Months ago
Nintendo - Compensation Analyst

Nintendo

Redmond, Washington, United States (Hybrid)
1 Month ago
Virtusa - Data Scientist

Virtusa

Andhra Pradesh, India (On-Site)
8 Months ago
Ubisoft - Senior ML Data Scientist

Ubisoft

Montreal, Quebec, Canada (On-Site)
2 Months ago
bytedance - Risk Control Business Partner - Dubai

bytedance

Dubai, Dubai, United Arab Emirates (On-Site)
1 Month ago
playrix  - Data QA Engineer

playrix

Cyprus (Remote)
7 Months 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!

New York, New York, United States (On-Site)

New York, New York, United States (On-Site)

Burbank, California, United States (On-Site)

Celebration, Florida, United States (On-Site)

Buenos Aires, Buenos Aires, Argentina (On-Site)

Seattle, Washington, United States (On-Site)

Santa Monica, California, United States (On-Site)

Glendale, California, United States (On-Site)

Anaheim, California, United States (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