Senior Applied Scientist, Last Mile Science
2 weeks ago
Inclusive Team Culture
Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.
Mentorship & Career Growth
We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
Key job responsibilities
• Invent and design new solutions for scientifically-complex problem areas and identify opportunities for invention in existing or new business initiatives.
• Successfully deliver large or critical solutions to complex problems in the support of medium-to-large business goals.
• Drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.
• Apply mathematical optimization techniques and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software.
• Research, prototype, simulate, and experiment with these models and participate in the production level deployment in Python or Java.
• Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans.
• Make insightful contributions to organization's roadmaps, goals, priorities, and approach.
• Actively engage with the internal and external scientific communities by publishing scientific articles and participating in research conferences.
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Bellevue, WA, USA
BASIC QUALIFICATIONS
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- Experience programming in Java, C++, Python or related language
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience with conducting research in a corporate setting
- Expertise in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic, decomposition methods
PREFERRED QUALIFICATIONS
- 5+ years of building machine learning models or developing algorithms for business application experience- Experience using managed ML/AI solutions
- Experience in designing and supporting large-scale optimization systems in a production environment
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