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Senior Applied Machine Learning Engineer (Personalization)

| Greater NYC Area | Hybrid
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Senior Applied Machine Learning Engineer (Personalization)
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. They specialize in applying 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.
As a member of this team you will collaborate across Engineering, Product, and Data teams to better understand challenges and develop automated solutions to be built into our products. You will be expected to contribute to 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.
Responsibilities:
- 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
Basic Qualifications:

  • 5 + years of analytical experience
  • 3+ years of experience developing machine learning models and performing data analysis with Python or R
  • 2+ years writing production-level, scalable code (e.g. Python, Scala)
  • 2+ years of experience developing algorithms for deployment to production systems
  • Bachelor's degree in statistics, math, computer science (or related field) or equivalent experience
  • In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings
  • In-depth understanding of the latest in natural language processing techniques and contextualized word embedding models
  • 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
The pay range for this position in Colorado is $117,752 to $157,960 per year, however, base pay offered may vary depending on geographic region, internal equity, 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 a full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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Technology we use

  • Engineering
    • C++Languages
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    • PHPLanguages
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Location

500 S. Buena Vista Street, Burbank , CA 91521

An Insider's view of The Walt Disney Company

How does the company support your career growth?

Over my 13 years with the company, I’ve had passionate leaders and colleagues with diverse backgrounds who have taught me and given me opportunities to expand into areas I never thought possible. You have the freedom to take career risks and apply your previous experience in ways you may not anticipate.

Chase

Product Management Director

What is your vision for the company?

Disney has always been at the heart of the evolution of the media industry, and technology is an essential part of that. The way that we tell and consume stories in the future is going to be completely different than it is today, and The Walt Disney Company is uniquely positioned to shape and create that future.

Jamie

SVP/Chief Technology Officer, The Walt Disney Studios

What are The Walt Disney Company Perks + Benefits

The Walt Disney Company Benefits Overview

Because our employees and cast members are at the heart of everything we do, Disney offers a competitive total rewards package that includes pay, health and savings benefits, time-off programs, educational opportunities and more. Together, these rewards make up a comprehensive package that help you live your best life, grow personally and professionally and take advantage of the special extras that only Disney can provide.

Eligibility for certain reward programs will vary based on your job status, work location and/or the terms of any applicable collective bargaining agreement.

Culture
Volunteer in local community
Partners with nonprofits
Diversity
Dedicated diversity and inclusion staff
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Dental insurance
Vision insurance
Health insurance
Life insurance
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Vacation & Time Off Benefits
Generous PTO
Paid holidays
Paid sick days

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