Applied Scientist

About the role

As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.

Responsibilities

• Understand use cases across the business and adopt/extend/design/invent solutions/models that are scalable, efficient, and automated for difficult problems that are not well defined
• Work closely with fellow scientists and software engineers (at Audible and Amazon) to build and productionize models, deliver novel and highly impactful features
• Review models of peers for the purpose of reducing and managing risk to the business, while improving customer experience
• Design, develop, and deploy modeling techniques and solutions for Content Understanding, Recommendations, GenAI-based product features, by employing a wide range of methodologies, working from simple to complex
• Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
• Push the boundary of innovation

Requirements

• Knowledge of data structures, algorithm design, statistics, and system design
• MSc + 5ys of relevant experience, or PhD +1 year in one of the following disciplines: Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field
• 3+ years of experience in Deep Learning, Natural Language Processing/Understanding, GenAI and/or Reinforcement Learning
• Proficiency in Python, SQL, and other scripting languages
• Experience employing and innovating with LLMs/GenAI to solve complex problems

Qualifications

• 2+ years of practical machine learning experience
• Experience in agile software development methodology
• Experience with programming languages such as Python, Java, C++
• Have publications at top-tier peer-reviewed conferences or journals
• Experience with building Recommendation Systems
• Experience with Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms

Skills

• Deep knowledge in ML, NLP, Deep Learning, GenAI, and/or large-scale distributed computation

Benefits

• Comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• paid time off, and parental leave

Pay

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, and location.

Schedule

Full-time

Contact

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.