Work in Washington Veterans Jobs

Job Information

Amazon Corporate LLC Sr Manager, Applied Science, Amazon Health in Seattle, Washington

Do you wish to create the greatest possible worldwide impact in healthcare? We, at Amazon Health Store Tech, are working towards the best-in-class healthcare storefront to make high-quality healthcare reliable, accessible, and intuitive. Our mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need. We are looking to hire and develop subject-matter experts in AI who focus on data analytics, machine learning (ML), natural language understanding (NLP), and deep learning for healthcare. We target high-impact algorithmic unlocks in areas such as natural language understanding (NLU), Foundation Models, Large Language Models (LLMs), document understanding, and knowledge representation systems-all of which are of high-value to our healthcare products and services. If you are a seasoned, hands-on Applied Science Director with a track record of delivering to timelines with high quality, deeply technical and innovative, we want to talk to you. You will bring AI and machine learning advancements to real-time analytics for customer-facing solutions in healthcare. You will explore, innovate, and deliver advanced ML-based technologies that involve clinical and medical data. You are a domain expert in one or more of the following areas: natural language processing and understanding (language models, transformers like BERT, GPT-3, T-5, etc.), Foundation Models and LLMs, deep learning, active learning, reinforcement learning, and bioinformatics. Key job responsibilities As an Applied Science Manager, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and medical research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to its implementation. A successful candidate has excellent technical depth, scientific vision, great implementation skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world, open-ended problems that, quite frankly, haven\'t been solved at scale anywhere before. Along the way, we guarantee you\'ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver-someone who truly enables machine learning and statistics to truly impact the lives and health of millions of customers. You will build and grow this team of Applied Scientists and guide this top talent to push the boundary of Science and next generation of product. They will lead the technical implementation of our evidence-based retrieval sub-system that ingests, indexes and retrieves relevant data in different forms and from multiple sources given the customer question and context. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA 10+ years of scientists or machine learning engineers management experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience building machine learning models or developing algorithms for business application Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from \$175,000/year in our lowest geographic market up to \$340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowl