Sr. Applied Scientist, NGDE Science

DESCRIPTION

Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI-powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.

As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.

You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.

Key job responsibilities

1. Solve complex problems related to the creation of autonomous agents for software engineering
2. Mentor and develop younger scientists
3. Contribute to the definition of the product roadmap and scientific strategy

1. PhD, or Master's degree and 5+ years of applied research experience
2. 3+ years of building machine learning models for business application experience
3. Experience with programming in Java, Python or related language
4. Experience with neural deep learning methods and machine learning

1. PhD in Machine Learning or related topics
2. Publications in top tier ML conferences (e.g., ICML, NeurIPS, ICLR) or NLP conferences (e.g., ACL)
3. Previous work on agents or LLMs

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. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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