Amazon is hiring: Applied Scientist, Prime Video in Seattle

Job ID: 2821503 | Amazon.com Services LLC

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one application available across thousands of devices. On Prime Video, customers can find their favorite movies, series, documentaries, and live sports. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experiences.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll work on projects that are fast-paced, challenging, and varied, allowing you to experiment with new possibilities, take risks, and collaborate with remarkable people.

Key job responsibilities

As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding, and more. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization. Other responsibilities include:

1. Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges.
2. Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization.
3. Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability.
4. Actively participate in publishing your research in leading conferences and journals.
5. Lead a team of skilled applied scientists, shaping the research strategy, creating forward-looking roadmaps, and effectively communicating progress and insights to senior leadership.
6. Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives.

About the team

At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it’s developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You’ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged.

BASIC QUALIFICATIONS

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

- Experience in professional software development
- Experience using Unix/Linux
- Have publications at top-tier peer-reviewed conferences or journals

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Posted: October 4, 2024 (Updated about 17 hours ago)

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