Applied Scientist II, Customer360
Amazon.com Services LLC•4h ago
United StatesOnsite$142.8K–$193.2KFull-timeMid Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Applied Scientist
- Are you a scientist passionate about advancing Information Retrieval, NLP
- Large Language Models? Are you interested in innovating on behalf of millions of customers, helping them discover what they need in the moments that matter? Do you want access to massive datasets, world-class compute
- the freedom to reason from first principles on novel problems? If so, you'll be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems
- user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date experiences that are relevant to their interests. We are a team uniquely placed within Amazon to shape how customers will think about their shopping journey in the future. Key job responsibilities As an Applied Scientist in our team, you will be responsible for the research, design
- development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval
- large language models. You will collaborate with scientists, engineers
- product partners locally and abroad. Your work will include inventing, experimenting with
- launching new features, products
- systems. Please visit https://www.amazon.science for more information. A day in the life You will solve real-world problems by analyzing large-scale customer data, generating insights and hypotheses, executing experiments
- developing statistical and ML models. The team is driven by business needs
- requires collaboration with other Scientists, Engineers
- Product Managers across the organization. You communicate findings clearly to influence technical and product decisions. You innovate on behalf of the customer and build models that improve personalization experiences across Amazon. About the team The team values innovation and offers a safe place to try, fail
- learn while fostering continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with an entrepreneurial work environment focusing on customer obsession.
- 3+ years of building models for business application experience - PhD
- Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience building machine learning models or developing algorithms for business application - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- other legally protected status. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
- location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
- parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Required skills
PythonJavaC++machine learningdata miningUnixLinux