At a Glance
- Tasks: Join us to develop AI solutions that enhance customer experiences with Amazon Photos.
- Company: Amazon Photos is a leading digital product offering unlimited photo storage for Prime members.
- Benefits: Enjoy a collaborative environment, remote work options, and opportunities for professional growth.
- Why this job: Be part of a team solving real-world problems using cutting-edge AI technology.
- Qualifications: 6+ years in machine learning; PhD or Master's degree preferred.
- Other info: Mentorship opportunities available for junior scientists.
The predicted salary is between 43200 - 72000 £ per year.
The Amazon Photos team is looking for a world-class Sr. Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team, we expect that you will develop innovative solutions to hard problems at massive scale, and publish your findings in at peer reviewed conferences and workshops.
With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for a Sr. Applied Scientist to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition.
Key job responsibilities
– Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language Model space
– Design and execute experiments to evaluate the performance of different models, and iterate quickly to improve results
– Create robust evaluation frameworks for assessing model performance across different domains and use cases
– Think big about the Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos
– Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
– You will mentor and guide junior scientists and contribute to the overall growth and development of the team
About the team
Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AI-driven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile, web and desktop apps, in Fire TV, and integrated into Alexa devices such as Echo Show. We solve real-world problems using AI while being a positive force for good.
BASIC QUALIFICATIONS
– 6+ years of building machine learning models for business application experience
– PhD, or Master\’s degree and 6+ years of applied research experience
– Experience programming in Java, C++, Python or related language
– Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
– PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
– 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.
– Excellent technical publications and material contributions to the CV/ML/AI field as related to image and video processing
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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Sr. Applied Scientist, Amazon Photos employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Applied Scientist, Amazon Photos
✨Tip Number 1
Familiarise yourself with the latest advancements in Vision-Language models. Understanding how these technologies are being applied in real-world scenarios will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Engage with the Amazon Photos community on platforms like LinkedIn or relevant forums. Networking with current employees can provide insights into the team culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss your past projects in detail, especially those involving machine learning and AI. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Stay updated on the latest research papers and publications in the field of machine learning and image processing. Being able to reference recent studies or breakthroughs during your discussions can set you apart from other candidates.
We think you need these skills to ace Sr. Applied Scientist, Amazon Photos
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, AI, and programming languages like Java, C++, or Python. Emphasise any projects or roles that involved developing algorithms or models, especially in the context of image and video processing.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and how it can enhance customer experiences. Mention specific projects or research that align with Amazon Photos' goals, particularly in Visual-Language Models and deep learning.
Showcase Technical Publications: If you have published papers or contributed to significant projects in the fields of computer science or machine learning, be sure to include these in your application. Highlight any work related to image and video processing, as this will demonstrate your expertise.
Prepare for Technical Questions: Anticipate technical questions related to machine learning models and algorithms during the interview process. Brush up on your knowledge of evaluation frameworks and be ready to discuss your approach to solving complex problems in AI.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with machine learning models and programming languages like Python, Java, or C++. Highlight specific projects where you've successfully implemented these technologies, especially in relation to image and video processing.
✨Demonstrate Problem-Solving Skills
Expect to face complex problems during the interview. Prepare examples of how you've approached difficult challenges in the past, particularly in the Visual-Language Model space. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining your research and findings in simple terms. Be ready to present your ideas clearly and concisely, as effective communication is key in this role.
✨Prepare for Collaboration Questions
Collaboration is crucial in this position. Think of examples where you've worked with cross-functional teams, such as engineers and product managers. Be ready to discuss how you contributed to team success and how you handle differing opinions.