Amazon.com Services LLC
Applied Science, pxt
SeniorAppliedScientist,PXTCentralScience
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“Senior Applied Scientist, PXT Central Science at Amazon.com Services LLC. Skills: Machine learning, Generative AI, Applied research. Design and deploy large-scale machine learning systems. Develop innovative ML solutions”
What You'll Achieve.
Improve Amazon; Improve lives; Improve wellbeing; Improve value of work
Industry & Context.
Solve complex business problems; Rigorous technical solutions; Ambiguous problem spaces
What They're Looking For.
Must Have
Master's degree and 5+ years applied research, 3+ years building ML models, Experience programming in Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning
Nice to Have
Experience with large scale distributed systems, Proven track record leading end-to-end development, Proven track record mentoring junior scientists, Experience building LLMs, Experience building generative AI applications on AWS, Excellent communication skills, Ability to influence senior leadership, Demonstrated ability to work in ambiguous problem spaces, Experience with evolving requirements
What You'll Do.
Design and deploy large-scale machine learning systems
Develop innovative ML solutions
Optimize manager-employee interactions
Establish metrics to measure engagement quality
Build causal inference models
Build experimental frameworks
Define technical roadmaps
Communicate complex technical concepts
How You'll Work.
Team & Collaboration
Cross-functional teams; Product managers; Engineers; Business leaders; Technical peers; Senior leadership
Communication Scope
Communicate complex technical concepts; Influence senior leadership
Full Job Description
We are seeking a Senior Applied Scientist to build production machine learning systems that solve complex business problems at scale. You will design, develop, and deploy ML solutions that directly impact millions of users and drive strategic decision-making across the organization. In this role, you will work on challenging problems spanning predictive modeling, natural language processing, recommendation systems, and generative AI applications. You will collaborate with cross-functional teams to translate ambiguous business challenges into rigorous technical solutions. Key job responsibilities * Design and deploy large-scale machine learning systems in production environments * Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI * Create ML solutions that standardize and optimize manager-employee interactions, providing intelligent suggestions and establishing metrics to measure engagement quality across diverse conversation types * Partner to build causal inference models and experimental frameworks to measure impact * Collaborate with product managers, engineers, and business leaders to define technical roadmaps * Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership About the team The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. Basic Qualifications: - PhD, or Master's degree and 5+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related lang
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