About this role
As a Senior Applied Scientist on the Applied AI team, you will build LLM-based solutions and develop systems and tools that accelerate knowledge operations. The work focuses on scalable ML and Generative AI to improve customer and business experiences in Amazon Stores.
Key Responsibilities
- Develop and maintain systems and tools for knowledge operations
- Build LLM-based solutions using ML and Generative AI techniques
- Push the boundaries of neural deep learning to scale inputs
- Design and deliver highly scalable systems
- Collaborate with developers and research teams with strong project management
Technical Overview
The role involves developing and maintaining scalable AI systems at the intersection of science and engineering, including LLM-based solutions and neural deep learning. Candidates are expected to design robust systems, manage projects effectively, and may work with distributed systems and ML tooling such as Hadoop, Spark, and Tensorflow.
Ideal Candidate
The ideal candidate is a senior-level Applied Scientist with 3+ years building machine learning models for business applications and an advanced degree (PhD or Master's) plus 6+ years of applied research experience. They have strong programming skills in Python, Java, or C++ and hands-on experience with neural deep learning and system design for highly scalable solutions, including LLM-based (large language model) work.
Must-Have Skills
3+ years of building machine learning models for business application experiencePhDor Master's degree and 6+ years of applied research experienceExperience programming in JavaC++Python or related languageExperience with neural deep learning methods and machine learningdeveloping and maintaining systems and tools that enable knowledge operationsbuilding highly scalable systems and system designexcellent project management skillsgreat communication skills
Nice-to-Have Skills
Experience with modeling tools such as RExperience with scikit-learnExperience with Spark MLLibExperience with MxNetExperience with TensorflowExperience with numpyExperience with scipyExperience with large scale distributed systems such as HadoopExperience with large scale distributed systems such as Spark
Tools & Platforms
Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyHadoopSpark
Required Skills
machine learning modelsapplied researchJavaC++Pythonneural deep learning methodsmachine learningLLM-based solutionssystem designhighly scalable systemsknowledge operationsGenerative AIHadoopSpark
Hard Skills
machine learning models for business application experienceapplied research experienceprogramming in Javaprogramming in C++programming in Pythonneural deep learning methodsmachine learningLLM-based solutionslarge scale distributed systems such as Hadooplarge scale distributed systems such as Sparkmodeling tools such as Rscikit-learnSpark MLLibMxNetTensorflownumpyscipyknowledge operationssystem designbuilding highly scalable systemsdeveloping and maintaining systems and tools
Soft Skills
leadership capabilitiesresearch and analytical capabilitiesproject management skillscommunication skillsget the right things done quickly and effectivelycollaborating with research teamscomfortable working with a team of top-notch developerscustomer-centricinnovationsolving hard problemsoperational goals focus
Keywords for Your Resume
Senior Applied ScientistApplied AILLM-based solutionsmachine learning modelsbusiness applicationapplied research experiencePhDMaster's degreeJavaC++Pythonneural deep learning methodsmachine learningGenerative AIsystem designhighly scalable systemsproject managementknowledge operationsHadoopSparkSpark MLLibscikit-learnTensorflownumpyscipyMxNetRscience and engineering
Deal Breakers
3+ years of building machine learning models for business application experience, PhD or Master's degree plus 6+ years of applied research experience, Experience programming in Java, C++, Python or related language, Experience with neural deep learning methods and machine learning
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