Applied Scientist, SP Support Science

About the role

Amazon's Selling Partner Support Science team builds the measurement and AI systems that power how Amazon understands, diagnoses, and eliminates the root causes of support contacts. Our vision is a continuous, science-driven pipeline where LLM-powered classification, causal impact measurement, and multi-modal friction detection work together to identify why Selling Partners experience frictions and quantify which interventions resolve them. Our systems process tens of millions of cases, evaluate hundreds of initiatives annually, and directly inform investment decisions across the Selling Partner Services organization.

Responsibilities

• Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.
• Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions.
• Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.
• Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation.
• Research and implement novel machine learning and statistical approaches.
• Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.

Requirements

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of building machine learning models or developing algorithms for business application experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Qualifications

• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
• Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting

Skills

• Experience in Machine Learning and Generative AI techniques
• Experience in designing and deploying machine learning models
• Experience in data mining and parallel/distributed computing

Benefits

• Comprehensive benefits including medical, dental, vision, prescription, life insurance, EAP, mental health support, and more
• 401(k) matching
• Paid time off
• Parental leave

Pay

The base salary range for this position is $142,800.00 - $193,200.00 annually.

Schedule

Full-time