Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Prime Video & Amazon MGM Studios · Seattle, WA
- On site
- Full-time
- $260,000 / year
- Seattle, WA
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Sr. Applied Scientist, Prime Video - Personalization and Discovery Science
Prime Video & Amazon MGM Studios · Seattle, WA
Avery Quinn
Hiring Manager · h•••••@amazon.jobs
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Job highlights
- Develop AI solutions for Prime Video Search.
- Build and guide machine learning models.
- Design and execute A/B experiments.
- Collaborate with engineering and product teams.
- Publish research findings in top venues.
About the role
About Prime Video
Prime Video is a premier entertainment destination, offering a wide selection of premium programming accessible within a single app across numerous devices. Prime members can tailor their viewing experience, discovering favorite movies, series, documentaries, and live sports, including exclusive content from Amazon MGM Studios, licensed hits, and programming from Prime Video Channels like Apple TV+, Max, and Crunchyroll. Non-Prime members can rent or buy titles from the Prime Video Store and enjoy ad-supported free content.Shape the Future of Entertainment
Prime Video's technology teams are dedicated to building a best-in-class digital video experience. As a Prime Video technologist, you will have comprehensive ownership over product, user experience, design, and technology, delivering cutting-edge experiences to our customers. You will engage in fast-paced, challenging, and diverse projects, with opportunities for experimentation, risk-taking, and collaboration with exceptional individuals. We encourage you to bring your unique perspectives, ideas, and skills to enhance the Prime Video experience. With global opportunities, you can shape your career path within Prime Video Tech.Role Overview: Applied Scientist, Prime Video Personalization
We are seeking a self-motivated, passionate, and resourceful Applied Scientist to contribute diverse perspectives, ideas, and skill sets to elevate the Prime Video customer experience. This role involves hands-on machine learning practice and research leadership. You will be instrumental in building and guiding machine learning models from inception, with the satisfaction of seeing your contributions positively impact millions of Amazon.com customers globally.Key Job Responsibilities
- Develop AI solutions for Prime Video Search systems utilizing Deep Learning, Generative AI, Reinforcement Learning, and optimization techniques.
- Collaborate closely with engineers and product managers on the end-to-end design, implementation, and launch of AI solutions.
- Design and execute offline and online (A/B) experiments, performing in-depth data analyses to evaluate proposed solutions.
- Effectively communicate complex technical and non-technical ideas to teammates and stakeholders.
- Stay current with advancements and the latest modeling techniques in the field.
- Publish research findings in leading conferences and journals.
About The Team
The Prime Video Search Science team is responsible for the science solutions that power the search experience across various devices, covering aspects from sourcing and relevance to ranking. We work in close partnership with engineering teams to deploy our solutions into production.Basic Qualifications
- PhD, or Master's degree with 6+ years of applied research experience.
- 5+ years of experience building machine learning models for business applications.
- Proficiency in programming languages such as Java, C++, or Python.
Preferred Qualifications
- Experience with modeling tools including R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
- Experience with large-scale distributed systems like Hadoop and Spark.
Key Skills/Competency
- Applied Scientist
- Machine Learning
- Deep Learning
- GenAI
- Reinforcement Learning
- Optimization Methods
- A/B Testing
- Data Analysis
- Python
- Research
Skills & topics
- Applied Scientist
- Machine Learning
- Deep Learning
- GenAI
- Reinforcement Learning
- Optimization
- Personalization
- Discovery
- Search Science
- AI Research
- Python
- Java
- C++
- Tensorflow
- Spark
- Hadoop
- A/B Testing
- Research Scientist
- Data Science
- Amazon
How to get hired
- Tailor your resume: Highlight machine learning, deep learning, and research experience relevant to personalization and discovery.
- Showcase your impact: Quantify achievements in building and launching AI solutions and A/B testing.
- Prepare for technical interviews: Brush up on ML algorithms, Python, Java/C++, and distributed systems concepts.
- Demonstrate research capability: Be ready to discuss your publications and research methodology.
- Understand Amazon's culture: Familiarize yourself with Amazon's Leadership Principles and how they apply to this role.
Technical preparation
Master Deep Learning, GenAI, RL algorithms.,Practice Python for ML model development.,Understand distributed systems (Hadoop, Spark).,Prepare for algorithm and system design.
Behavioral questions
Discuss a challenging ML problem solved.,Explain how you handle project ambiguity.,Describe your collaboration with engineers.,How do you stay updated on ML research?
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Frequently asked questions
- What are the key machine learning techniques used for the Applied Scientist role at Prime Video?
- The Applied Scientist role at Prime Video focuses on developing AI solutions for Search systems using Deep Learning, Generative AI (GenAI), Reinforcement Learning, and optimization methods. Experience with these advanced ML techniques is crucial for success in this position.
- What kind of research and publication expectations are there for the Applied Scientist at Prime Video?
- A key responsibility for this Applied Scientist role is to publish research findings in top conferences and journals. This indicates a strong emphasis on advancing the state-of-the-art in machine learning for personalization and discovery.
- How does Amazon evaluate candidates for the Applied Scientist position at Prime Video?
- Amazon evaluates candidates through a rigorous process that includes assessing their applied research experience, experience in building machine learning models for business applications, and programming proficiency. Candidates are also expected to demonstrate their ability to design and conduct experiments and effectively communicate technical ideas.
- What is the expected educational background for an Applied Scientist at Prime Video?
- The basic qualifications require a PhD or a Master's degree combined with at least 6 years of applied research experience. This signifies a need for a strong academic foundation in a relevant scientific or engineering field.
- What are the benefits of working as an Applied Scientist at Prime Video?
- Working as an Applied Scientist at Prime Video offers the opportunity to shape the future of entertainment, work on cutting-edge AI technologies, have end-to-end ownership of projects, and impact millions of customers worldwide. The role also involves collaboration with talented individuals and offers global career opportunities.
- Can candidates with experience in specific modeling tools like Tensorflow apply for the Applied Scientist role at Prime Video?
- Yes, experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, and scipy is preferred for the Applied Scientist position at Prime Video. Proficiency in these tools is a strong advantage.
- What programming languages are essential for the Applied Scientist role at Prime Video?
- Candidates for the Applied Scientist role at Prime Video must have experience programming in Java, C++, or Python, or a related language. Proficiency in at least one of these languages is a basic requirement.