What You'll Do
In this role, you'll sit at the intersection of state-of-the-art research and real-world impact. You will:
- Design and build algorithms that solve large-scale, complex logistics problems
- Synthesize data from diverse sources to identify high-value business opportunities
- Provide research direction and data-driven insights to guide strategic decisions
- Translate complex technical approaches into clear communication for scientists, engineers, and business stakeholders
- Partner closely with scientists and engineers in a collaborative, high-impact environment
What You'll Work On
We have an exciting and growing portfolio of research areas, including:
- Routing for same-day and grocery deliveries
- Planning for electric and autonomous vehicles
- District-level and stop-level planning
- Forecasting solutions for diverse delivery programs
All of this is powered by the latest methods in Operations Research (OR), Machine Learning (ML), and Generative AI - at a truly global scale. Successful candidates will lead one or more of these problem spaces.
What We're Looking For
- Deep expertise in Operations Research and/or Machine Learning methods
- Proven experience applying these methods to large-scale, real-world business problems
- Ability to translate models into production-ready code in Python or Java
- Strong communication skills - you can explain complex technical concepts to diverse audiences
- A bias for action and an iterative mindset when tackling ambitious research challenges
If you're driven by the challenge of optimizing one of the world's most complex logistics systems and excited to see your work impact millions of customers daily, we'd love to hear from you.
Key job responsibilities
- Invent and design novel solutions for scientifically complex problem areas, and identify opportunities for invention within existing and new business initiatives
- Deliver large-scale, high-impact solutions to complex problems in support of medium-to-large business goals
- Shape the design of scientifically complex software systems, personally contributing significant portions of the critical scientific novelty
- Apply mathematical optimization, machine learning, and Generative AI techniques to develop solution methodologies for in-house decision support tools and software
- Research, prototype, simulate, and experiment with models - and actively participate in their production-level deployment in Python or Java
- Engage with the broader scientific community by publishing research articles and participating in leading research conferences
BASIC QUALIFICATIONS
- PhD, or Master's degree and 5+ years of building machine learning models or developing algorithms for business application experience
- 2+ years of programming in Java, C++, Python or related language experience
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- 3+ years of building machine learning models or developing algorithms for business application experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually
USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually
