Senior Applied Scientist, Health Solutions Specialist
2 days ago
Amazon Health seeks a talented Senior Applied Scientist to join our mission of making healthcare more accessible and convenient. This role requires expertise in building machine learning models for business applications, with a strong background in engineering, technology, or a related field.
As a Senior Applied Scientist, you will work closely with product, UX, and business teams to understand customer challenges and translate requirements into science problems. Your skills in programming languages such as C/C++, Python, Java, or Perl will enable you to develop and deploy scalable methodologies to evaluate large-language-model outputs against metrics and guardrails.
This is an exceptional opportunity to pursue both near-term productization opportunities and long-term research in the field of healthcare AI. You will have the chance to work on hard science problems, conduct rapid prototyping, and deploy your algorithmic ideas at scale. With a salary range of $185,000 - $250,000 per year, depending on location, this role offers a competitive compensation package that aligns with industry standards.
Key Responsibilities:
• Translate product and CX requirements into science metrics and rigorous testing methodologies.
• Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.
• Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.
About the Team:
We are the Health AI team at HST (Health Store and Technology), comprising exceptional ML Scientists with diverse backgrounds in healthcare, robotics, customer analytics, and communication. Our commitment to building and deploying advanced scientific capabilities and solutions drives innovation in the products and services at Amazon Health.
Qualifications:
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or equivalent quantitative field, or Master's degree and 6+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java, or Perl
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