Twitch / Amazon — Applied Scientist III (Remote USA)
Twitch Interactive (Amazon) is hiring an Applied Scientist III (Remote) at $192,200 – $260,000 a year on the listing. Build and deploy ML models for production streaming and community products.
Job Overview
- Company: Amazon.com Services LLC (Twitch Interactive)
- Role: Applied Scientist III
- Location: Remote (United States)
- Job type: Full-time
- Pay: $192,200 – $260,000 a year
Primary Responsibilities
- Design, develop, evaluate, and deploy data-driven ML models
- Apply statistical modeling, optimization, and deep learning techniques
- Run experiments in production and iterate on model performance
- Identify new research opportunities aligned to Twitch business goals
- Mentor junior scientists and engineers
Eligibility Criteria
Minimum: PhD or Master’s in ML/statistics/CS or equivalent experience; strong production ML track record; Python and modern ML frameworks.
This is a trusted employer listing with compensation shown on the source — evaluate fit against your background before you apply.
Remote eligibility varies by state; confirm location requirements on the official application.
Why Choose Twitch / Amazon for Applied Science
Twitch sits at the intersection of live video, community, and Amazon-scale ML infrastructure — Applied Scientist III roles carry published six-figure bands on the source listing.
Published pay for this role is $192,200 – $260,000 a year — use that band to decide if the opportunity matches your target before investing time in the application.
How to Apply
Senior applied scientists with production ML deployment experience should apply via the official Indeed/Amazon posting below.
| Company | Amazon.com Services LLC |
| Salary | $192,200 – $260,000 a year |
| Key Requirement | Production ML models; statistical/Deep learning methods; mentoring |
| Location | Remote (United States) |
| Application Link | Apply on Company Site |
See: Amazon Emergency Services Manager and Software & IT Jobs.
High-pay remote roles at established employers move quickly when pay is shown upfront — apply early if your experience aligns.