SQL, Python Programming, R Programming, AWS, Tableau, Scala Programming
The vision of the Machine Learning (ML) Engineering team at Disney Streaming 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 find new ways to scale with our guest and partner base as well as the ever-growing need for ML and experiments.
In this role, you will focus on partnering with software services and engineering groups to advocate and support ML applications in those domains. Such domains include Fraud, API Services, CDN routing, Edge access, etc. You will conduct data exploration, analysis to motivate and drive ML usage across the engineering and services teams, and provide ML consultancy. You will work on cross-functional products and push the envelope on data and ML focused solutions.
Responsibilities:
Basic Qualifications:
Preferred Qualifications:
Required Education
Bachelor’s degree in Computer Science or related field or equivalent work experience
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! Disney Streaming Services is a business unit within Disney’s Direct-to-Consumer and International (DTCI) segment that oversees all consumer
Bangalore, Karnataka, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Mumbai, Maharashtra, India
2-4 year
Orlando, FL, USA
2-4 year
Orlando, FL, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Taipei City, Taiwan
2-4 year
San Francisco, CA, USA
2-4 year
Glendale, CA, USA
2-4 year
Lake Buena Vista, FL, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Santa Monica, CA, USA
2-4 year
Seattle, WA, USA
2-4 year
Bengaluru, Karnataka, India
6-8 year
Mumbai, Maharashtra, India
2-4 year
Santa Monica, CA, USA
6-8 year
Lake Buena Vista, FL, USA
4-6 year
San Francisco, CA, USA
8-10 year
Santa Monica, CA, USA
8-10 year
Seattle, WA, USA
8-10 year
Bengaluru, Karnataka, India
4-6 year
Mumbai, Maharashtra, India
4-6 year
New York, NY, USA
8-10 year
Bristol, CT, USA
8-10 year
New York, NY, USA
4-6 year
Bristol, CT, USA
4-6 year
Santa Monica, CA, USA
6-8 year
New York, NY, USA
6-8 year
Santa Monica, CA, USA
8-10 year
New York, NY, USA
8-10 year
Orlando, FL, USA
10-12 year
Glendale, CA, USA
10-12 year
Seattle, WA, USA
10-12 year
Anaheim, CA, USA
10-12 year
Lake Buena Vista, FL, USA
10-12 year
Santa Monica, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
New York, NY, USA
4-6 year
Santa Monica, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Bristol, CT, USA
12-14 year
Burbank, CA, USA
12-14 year
Santa Monica, CA, USA
0-2 year
Seattle, WA, USA
0-2 year
Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Santa Monica, CA, USA; San Francisco, CA, USA; Seattle, WA, USA
8-10 year
New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
New York, NY, USA; Santa Monica, CA, USA; Seattle, WA, USA
6-8 year
Bristol, CT, USA; Burbank, CA, USA; Glendale, CA, USA; New York, NY, USA; San Francisco, CA, USA; Santa Monica, CA, USA; Seattle, WA, USA
2-4 year