Applied Scientist, Last Mile Science
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Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
What if your algorithms defined the most efficient path for millions of deliveries every single day At Amazon were building the science that makes that possible and were looking for exceptional scientists to help lead the way.
The Last Mile Routing & Planning organization develops the software algorithms and tools that power the magic of home delivery. Our planning and routing intelligence systems drive billions of daily decisions enabling safe efficient and frustration-free routes for drivers across the globe.
What Youll Do
In this role youll 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 Youll 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 Were 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
Why Amazon
Were passionate about your growth. Whether you want to explore emerging technologies take on broader scope or accelerate your career trajectory well invest in helping you get there. Our business is scaling fast and so are the opportunities for the people who build it.
If youre driven by the challenge of optimizing one of the worlds most complex logistics systems and excited to see your work impact millions of customers daily wed 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
- 2 years of programming in Java C Python or related language experience
- PhD or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
- Experience building machine learning models or developing algorithms for business application
- 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 solving business problems through machine learning data mining and statistical algorithms experience
- 3 years of mathematics optimization such as linear programming and nonlinear optimization experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 TX Austin - 142800.00 - 193200.00 USD annually
USA WA Bellevue - 142800.00 - 193200.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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