Director, Economics, Amazon Health, Amazon Health
DESCRIPTION
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 microeconomics and 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 Economics 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: applied microeconomics, 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.
As an Economics Director, 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.
We’re looking for an Economics Director to join at the very start of this new health assistant product to delight our customers. The Director will build and grow this team of Economists and 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.
Key job responsibilities
Your responsibilities will include everything from developing and prototyping innovative machine learning, and deep learning algorithms to implementing, testing, and supporting full solutions in a production environment.
You will serve as a strategic advisor to science, product, and engineering partners. You will be an intellectual thought leader that will help enhance the science in addition to developing the thinking of our team.
You will direct and shape the science philosophy, planning and strategy for the organization on a variety of ML driven innovations.
You will lead efforts in Generative AI to advance our customer feature set, and provide thought leadership to scientists and engineers to invent and implement scalable ML recommendations supporting new Customer Experiences.
You will work closely with peers in Amazon Consumer to advance state of the art research and science application for our Machine Learning models.
You’ll also participate in organizational planning, hiring, mentorship and leadership development.
We are open to hiring candidates to work out of one of the following locations:
San Francisco, CA, USA
BASIC QUALIFICATIONS
MS/PhD Degree in economics or related field
• 10+ years of industrial/academic experience in economics, deep learning, machine learning or a related field
• Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising, or other related fields.
• Experience leading experienced scientists as well as a record of developing research and engineering talent
• Working with academics to a career track in a business environment
• Strong judgement ability and decision making skills
• Strong business and technical vision
• Strong research track record
PREFERRED QUALIFICATIONS
Experience implementing machine learning algorithms, modeling and optimization techniques tailored and tested on large data sets
• Knowledge in Causal Inference, Deep learning, Large Language Models, Generative Pre-trained Transformer, Generative AI, Multimodal, NLP, Dialogue understanding or human feedback based reinforcement learning.
• Familiar with programming languages such as C/C++, Java, Perl or Python
• Experience in developing applications that have been successfully delivered to customers
• Publication record in top conferences
• Strong written and verbal communication
• Skills to influence Cross functional teams
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $250,000/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.