Senior Applied Scientist, Amazon Health – Santa Clara, CA – $150,400 – $260,000/year

Are you passionate about revolutionizing healthcare through innovative technology? Amazon Health is on a mission to make healthcare more accessible, convenient, and cost-effective.

We’re seeking a Senior Applied Scientist to join our team and push the boundaries of machine learning and large language models (LLMs) to deliver personalized healthcare solutions. If you’re eager to work on groundbreaking projects that directly impact people’s lives, this role is for you.

As a Senior Applied Scientist, you will work with a talented team to develop state-of-the-art models that enhance customer experiences by making healthcare products and services easier to find and use.

About Amazon Health

Amazon Health is dedicated to transforming how customers access healthcare products and services. Our team focuses on developing cutting-edge technologies that simplify the healthcare journey.

From advanced machine learning models to innovative user experiences, we are committed to making healthcare more personalized and empathetic. By joining Amazon Health, you’ll be at the forefront of this transformation, working with experts in machine learning, healthcare, and product development.

Role of the Senior Applied Scientist

As a Senior Applied Scientist at Amazon Health, you will play a key role in translating product and customer experience requirements into science metrics.

You’ll invent scalable methodologies to evaluate LLM outputs, design high-quality semantic retrieval systems, and optimize LLMs to improve customer experiences while reducing operational costs.

This role offers a unique opportunity to work on challenging science problems that have not been solved before, conducting rapid prototyping and deploying algorithmic solutions at scale.

Key Responsibilities

• Science Metrics: Translate product and CX requirements into rigorous testing methodologies.
• LLM Optimization: Tune and optimize large language models to enhance customer experience.
• System Design: Develop high-quality knowledge bases and optimize embedding models.
• Collaboration: Work closely with product, UX, and business teams to understand customer challenges.

Compensation & Benefits

The base salary for this position ranges from $150,400 to $260,000 per year, depending on your location, experience, and skills. Amazon offers a comprehensive compensation package, including equity, sign-on payments, and a wide range of benefits to support your career growth and personal well-being.

Requirements

Basic Qualifications:

• 3+ years of experience building machine learning models for business applications.
• PhD in a quantitative field (e.g., engineering, computer science, machine learning) or a Master’s degree with 6+ years of experience.
• Proficiency in programming languages such as C/C++, Python, Java, or Perl.

Preferred Qualifications:

• 5+ years of experience in building machine learning models for business applications.

Working Conditions

This role is based in Santa Clara, CA, offering an exciting opportunity to work in a dynamic and fast-paced environment. You’ll collaborate with top-tier scientists and engineers, pushing the boundaries of healthcare technology to make a real difference in people’s lives.

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How to Apply

Join Amazon Health and be a part of a team that is transforming the future of healthcare. Apply today!