Sr. Applied Scientist, APM Video Science
New York, NYJob$184–249K/yrSeen todaySeen in employer's feed today
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Job overview
Twitch seeks an Applied Scientist to lead computer vision and video manipulation work for Amazon Publisher Monetization. The role applies large language models, vision-language models, and traditional computer vision to creator and viewer products, taking research prototypes into production. The scientist will evaluate first- and third-party solutions, shape the scientific agenda, collaborate with Product and Twitch leadership, and mentor scientists and engineers.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
Twitch is looking for an Applied Scientist to lead computer vision and video manipulation work within Amazon Publisher Monetization (APM). You will apply large language models (LLMs), vision-language models (VLMs), and traditional computer vision techniques to build products that directly improve how millions of Twitch creators produce content and how viewers engage with it. This is a high-visibility project backed by senior leadership, and you will have the autonomy to evaluate both first-party and third-party solutions to deliver the highest quality results quickly. If you thrive in a fast-paced, startup-like environment where your scientific decisions shape the product roadmap, we want to hear from you.
Key job responsibilities
Design and deploy computer vision and video manipulation models using LLMs, VLMs, and traditional techniques, taking solutions from research prototype to production.
Partner with senior Product and Twitch leadership to translate customer needs into well-defined scientific problems and deliver end-to-end solutions.
Evaluate and integrate generative AI capabilities across Amazon Bedrock and third-party platforms, selecting the approach that maximizes product quality.
Drive the team's scientific agenda by proposing new initiatives, authoring technical documents, and contributing to external publications.
Mentor fellow scientists and engineers through code reviews, design guidance, and technical assessments that raise the overall quality bar.
A day in the life
You will split your time roughly evenly between independent research and collaborative sessions. Mornings often start with focused solo work — benchmarking a new VLM, writing model code, or analyzing experiment results. Midday you join working sessions with Product and Twitch leadership to align on requirements or review progress. Afternoons shift between pairing with engineers on production integration and mentoring teammates on evaluation methodology. Weekly science reviews and bi-weekly roadmap syncs keep the team aligned without over-scheduling your calendar.
About the team
The APM science team supports all of Amazon's Publisher Monetization efforts, building the models and systems behind Twitch's creator tools and ad experiences. The team includes applied scientists, software engineers, and product managers who collaborate daily to move ideas from whiteboard to production. We operate with a startup mentality — moving fast, wearing multiple hats, and iterating closely with Twitch and Product partners. We are accelerating investment in computer vision and generative AI, and this role will be central to that expansion.
Basic Qualifications
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PhD, or Master's degree and 6+ years of applied research experience
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Experience programming in Java, C++, Python or related language
Preferred Qualifications
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Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
How this job compares
Set against the 1,086 open Applied Scientist jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$184–249K/yr
- New York median$184–249K/yr103 salary ranges
- US median$158–264K/yr1,042 salary ranges
This range's midpoint, $216K, is close to the New York median midpoint ($216K) — in the middle half of Applied Scientist salary ranges in New York.
- Openings
- Olive Jobs lists 109 open Applied Scientist jobs in New York and 1,086 across the US. 1% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Amazon (this employer)77 open
- Garner Health8 open
- Oracle7 open
- Experience
- This posting asks for at least 6 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (894 postings).
- Education
- 429 of the 1,086 open Applied Scientist jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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