Join Our Innovative Team as a Sr. Applied Scientist in Personalization at Amazon

Are you passionate about big data, machine learning, LLM (Large Language Models), and enhancing product recommendations? Amazon's high-impact Personalization team is looking for someone like you to help shape the future of ecommerce.

About Our Team

At Amazon, our Personalization organization is dedicated to transforming the customer experience through innovation at the crux of machine learning and large-scale distributed systems. Our initiatives like "Compare with similar items", "Keep shopping for...", and "Frequently bought together" have greatly impacted e-commerce globally. Amazon’s internal surveys have consistently recognized our group as one of the best places to work within the company, known for visible impactful projects, a supportive work-life balance, and abundant growth opportunities.

Who You Are

You are a Sr. Applied Scientist who thrives on working with big data and is eager to improve customer shopping experiences by developing and applying cutting-edge technologies such as LLM, NLP, and Computer Vision. With an entrepreneurial mindset and a knack for innovation, you enjoy collaborating with software engineers to bring algorithms to life. Working across various teams at Amazon, you’ll drive significant customer benefits and have a substantial impact on our project designs and architecture.

Key Job Responsibilities

• Employ machine learning and analytical techniques to create scalable solutions for business problems.
• Analyze large datasets to extract meaningful insights to help automate and optimize key processes.
• Design and develop innovative models for predictive learning and drive implementation with software engineering teams.
• Establish automated processes for large scale data analysis, model development, and validation.
• Explore and integrate new machine learning and statistical techniques into our systems.
• Mentor and guide junior scientists, providing feedback and support.

About Our Mission

Our mission is to delight every Amazon customer with a personalized shopping experience. We continually invest in large-scale machine learning and system solutions to pioneer the future of shopping on Amazon, aiding customers in exploring products, discovering high-quality items, and making confident purchasing decisions.

Preferred Locations

Potential candidates are welcome to work from our office in Seattle, WA, USA.

Qualifications

The ideal candidate will have at least 3 years of experience in building machine learning models geared towards business applications. A PhD, or a Master’s degree coupled with 5+ years of applied research experience is required. Proficiency in programming languages such as Java, C++, Python, or similar is essential. Experience with neural deep learning methods, large scale systems, and commonly used modeling tools (R, scikit-learn, TensorFlow etc.) is highly preferred.

Amazon is an equal opportunity employer that values diversity and inclusion. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please visit our website for more information on our compensation packages and employee benefits.

If you are ready to make a significant impact in ecommerce and work with a dynamic team, apply now to join us as a Sr. Applied Scientist in Personalization at Amazon.