Sr Machine Learning Engineer

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
Santa Monica, CA, USABristol, CT 06010, USASan Francisco, CA, USA
$136,100 - $199,800
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Entertainment
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Description For Sr Machine Learning Engineer

The Search Machine Learning (ML) team powers the ML aspects of search engines for Disney+ and Hulu platforms, in a highly collaborative environment. ML-based services are embedded inside the entire life cycle of search journey, from query understanding, semantic retrieval, and engagement-based re-ranking of contents. Working closely with our core search counterpart team and product stakeholders, we are constantly testing new ideas, and bringing the proven ones into fruition, through experimentation.

In this role, you will be responsible for maintaining and iterating on the training jobs and inference endpoints for our ML micro-services that power Hulu Search Engine. You will be partnering closely with data engineering/data science leads, and work together towards constant iterations on our state-of-the-art ML micro-services.

Responsibilities:

  • Design and develop batch training jobs (both on CPU and GPU) and inference endpoints.
  • Ensuring healthy training configurations for tensorflow/pytorch training jobs, and serving layers (through both gRPC and REST).
  • Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams.
  • Work in an Agile environment that focuses on collaboration and teamwork.

Required Qualifications:

  • 5+ years of software experience, with 3+ years of relevant ML and software experience
  • Knowledge of the Python/Java data ecosystem.
  • Knowledge of either pyTorch or Tensorflow frameworks.
  • Experience deploying and running services in AWS.
  • Expertise with ML pipelines, algorithms, and statistical methods
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Preferred Qualifications:

  • Experience with ML platforms, such as AWS SageMaker, Google Vertex AI, or any other ML platform.
  • Experience in adopting open source ML packages into the MLOps lifecycle.
  • Excellent communication and people engagement skills, and mentor colleagues on best practices and technical concepts of building large scale solutions

The hiring range for this position varies by location:

  • Los Angeles, CA, Santa Monica, CA, and Bristol, CT: $136,100.00 - $182,400.00 per year
  • Seattle, WA and New York, NY: $142,600.00 - $191,100.00 per year
  • San Francisco, CA: $149,000.00 - $199,800.00 per year

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.

Last updated 6 months ago

Responsibilities For Sr Machine Learning Engineer

  • Design and develop batch training jobs (both on CPU and GPU) and inference endpoints
  • Ensure healthy training configurations for tensorflow/pytorch training jobs, and serving layers
  • Work on multi-faceted projects with diverse engineers across teams
  • Work in an Agile environment focusing on collaboration and teamwork

Requirements For Sr Machine Learning Engineer

Python
Java
  • 5+ years of software experience, with 3+ years of relevant ML and software experience
  • Knowledge of Python/Java data ecosystem
  • Knowledge of pyTorch or Tensorflow frameworks
  • Experience deploying and running services in AWS
  • Expertise with ML pipelines, algorithms, and statistical methods
  • Bachelor's degree in Computer Science or related field

Benefits For Sr Machine Learning Engineer

Medical Insurance
401k
Equity
  • Health insurance & wellbeing
  • Childcare options
  • Paid time off
  • Retirement programs
  • Tuition assistance
  • Weekly pay

Interested in this job?