At a Glance
- Tasks: Develop machine learning algorithms to revolutionise how customers discover content on Prime Video.
- Company: Join Amazon's Prime Video team and shape the future of entertainment.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic team with a focus on innovation and customer satisfaction.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Experience in programming and machine learning; PhD or equivalent experience preferred.
The predicted salary is between 60000 - 80000 € per year.
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. Prime Video is a fast‑paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.
Key Job Responsibilities
- Develop machine learning algorithms for high‑scale recommendations problems
- Rapidly design, prototype and test many possible hypotheses in a high‑ambiguity environment, making use of both quantitative analysis and business judgement
- Collaborate with software engineers to integrate successful experimental results into Prime Video wide processes
- Communicate results and insights to both technical and non‑technical audiences, including through presentations and written reports
A Day in the Life
You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and business value of your methods. You will work alongside other scientists and engineering teams to deliver your research into production systems.
About The Team
Our team owns Prime Video observability features for development teams. We consume PBs of data daily which feed into multiple observability features focused on reducing the customer impact time.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
- PhD in a relevant field (engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field), or equivalent relevant work experience
Preferred Qualifications
- Experience using managed ML/AI solutions
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. 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 the accommodations page for more information.
Senior Applied Scientist, Insights, Prime Video employer: Amazon Science
At Prime Video, we are committed to fostering a vibrant and inclusive work culture that empowers our employees to innovate and excel. As a Senior Applied Scientist, you will have the opportunity to work with cutting-edge technology in a dynamic environment, collaborating with talented professionals while contributing to the future of entertainment. We offer competitive benefits, continuous learning opportunities, and the chance to make a significant impact on how millions of customers experience movies and television worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Scientist, Insights, Prime Video
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already at Prime Video. A friendly chat can open doors and give you insider info that could make your application stand out.
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning knowledge. Be ready to discuss your past projects and how they relate to the role. We want to see your passion for shaping the future of entertainment!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, be prepared to tackle hypothetical scenarios. Think aloud and demonstrate your thought process; it’s all about how you approach challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team and contributing to the exciting world of Prime Video.
We think you need these skills to ace Senior Applied Scientist, Insights, Prime Video
Some tips for your application 🫡
Show Your Passion for Entertainment:When writing your application, let your enthusiasm for movies and TV shows shine through! We want to see how your interests align with shaping the future of entertainment at Prime Video.
Highlight Relevant Experience:Make sure to showcase your experience in machine learning and programming. We’re looking for specific examples of how you’ve applied these skills in real-world scenarios, so don’t hold back!
Communicate Clearly:Remember, we need to understand your insights just as much as the technical details. Use clear language and structure your application well, making it easy for us to follow your thought process.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Amazon Science
✨Know Your Algorithms
Brush up on your machine learning algorithms, especially those related to recommendations. Be ready to discuss how you've applied these in past projects and the impact they had. This shows you not only understand the theory but can also implement it effectively.
✨Prepare for Hypothesis Testing
Since the role involves rapid prototyping and testing hypotheses, think of examples from your experience where you designed experiments. Be prepared to explain your thought process and how you used both quantitative analysis and business judgement to reach conclusions.
✨Communicate Clearly
You’ll need to present complex ideas to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on the results and insights. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Collaborate Like a Pro
Collaboration is key in this role. Think of times when you worked with software engineers or cross-functional teams. Be ready to share how you integrated your research into production systems and the challenges you faced along the way.
