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Principal Research Scientist, Futures Design Innovator
2 months ago
We are seeking a highly skilled Principal Research Scientist to join our Amazon Device and Services Design Group (DDG) Futures Design team. As a key member of our team, you will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.
Key Responsibilities- Develop long-term strategies and persuade teams to adopt those strategies
- Propose goals and deliver on them
- Participate in organizational planning, hiring, mentorship, and leadership development
- Serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance)
- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
- 10+ years of combined academic and research experience
- Multi-disciplinary expertise with demonstrated application of AI to a human-centered problem space (e.g., human factors or experiential learning)
- Functional thought leader, sought after for key tech decisions
- Can successfully sell ideas to executive level decision makers
- Mentors and trains the research scientist community on complex technical issues
- Proven track record of building complex solutions in ambiguous environments
- Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers
- Experience developing software in traditional programming languages (e.g., Python, C++, Java)
- Excellent written and spoken communication skills
- Proven record of developing new approaches, algorithms, application areas, etc.
- Extensive research expertise in generative AI, computer vision, machine learning, or NLP
- Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts, and paradigms
- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the-art for applied science
- Deep and broad expertise in state-of-the-art generative AI methodologies, such as building simulacra with frameworks like Autogen, CrewAI, or ChatDev
- Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources
- Track record of solving complex technical problems
- Exhibits excellent business judgment; balances business, product, and technology very well
- Experience working with real-world data sets and building scalable models from large-scale data
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
