Applied Science Manager: AI for Scalable Sales

Amazon Science; Seattle (WA); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Science in Seattle seeks an Applied Science Manager to lead a team of scientists and analysts, shaping the scientific roadmap and translating research into production-ready models at scale.

You will partner with business and technical leaders to ensure outputs inform decisions and drive customer-facing products, leveraging NLP, LLMs, RL, deep learning, and recommender systems to deliver impactful AI solutions.

Qualifications

• 3+ years of scientists or ML engineers management experience
• Knowledge of ML, NLP, Information Retrieval and Analytics
• PhD, or Master's degree and 6+ years of applied research experience
• Knowledge of machine learning approaches and algorithms

Responsibilities

• Lead and manage a team of applied scientists and analysts, setting the strategic direction and roadmap for scientific research that influences organizational goals and annual planning processes.
• Partner with business and technical stakeholders to define vision, priorities, and success criteria — ensuring your team builds the right solutions at the right level of fidelity and that final outputs are ready to inform business decisions or move to production.
• Evaluate and improve machine learning model accuracy and performance using rigorous experimentation, feature engineering, and hyperparameter optimization, while establishing a team culture focused on reproducibility and scientific rigor.
• Hire, develop, and mentor scientists and technical contributors, providing growth opportunities and empowering team members to take ownership of key workstreams and deliver results independently.
• Identify opportunities for new analysis, efficiency improvements, and generative AI integration, allocating resources effectively and proactively mitigating risks before they become roadblocks.

Skills

Team management

ML/NLP/IR

Applied research leadership

Machine learning approaches

Education

PhD or MS + 6+ years

Job description

Amazon Science in Seattle seeks an Applied Science Manager to lead a team of scientists and analysts, shaping the scientific roadmap and translating research into production-ready models at scale.

You will partner with business and technical leaders to ensure outputs inform decisions and drive customer-facing products, leveraging NLP, LLMs, RL, deep learning, and recommender systems to deliver impactful AI solutions.