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
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 TeamOur 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
- 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 in London 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 enjoy their favourite shows and movies worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Applied Scientist, Insights, Prime Video in London
✨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
Show off your skills! Prepare a portfolio or a project that highlights your machine learning expertise. When you get the chance to chat with recruiters, having something tangible to discuss can really impress them.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. Use platforms like StudySmarter to simulate interview questions and get comfortable with the process.
✨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 genuinely interested in being part of the Prime Video team.
We think you need these skills to ace Senior Applied Scientist, Insights, Prime Video in London
Some tips for your application 🫡
Show Your Passion for Entertainment:When you’re writing your application, let your love for movies and TV shows shine through! We want to see how your interests align with what we do at Prime Video. Share any relevant experiences that highlight your enthusiasm for shaping the future of entertainment.
Highlight Your Technical Skills:Make sure to showcase your programming skills and experience with machine learning. We’re looking for someone who can develop algorithms and work with large datasets, so don’t hold back on detailing your expertise in languages like Python or Java, and any tools you’ve used.
Communicate Clearly:Remember, you’ll need to present your findings to both technical and non-technical audiences. Use your application to demonstrate your ability to communicate complex ideas simply and effectively. A well-structured application can show us you’re ready for this challenge!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives you a chance to explore more about our team and the exciting work we do at Prime Video!
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 how they can be leveraged for Prime Video's needs.
✨Prepare for Hypothesis Testing
Since the role involves rapid prototyping and testing, think of examples where you've designed experiments in ambiguous environments. Be prepared to explain your thought process and the outcomes of your tests.
✨Communicate Clearly
You’ll need to present complex ideas to both technical and non-technical audiences. Practice explaining your past work in simple terms, focusing on the impact and value it brought to the business.
✨Collaborate Like a Pro
Collaboration is key in this role. Think of instances where you’ve worked closely with software engineers or cross-functional teams. Be ready to share how you integrated your research into production systems.
