About this role
Applied Scientist III at Amazon Robotics develops and deploys ML/NLP solutions for sortation planning and tracking, collaborating with data scientists, engineers, and controls experts to optimize robotics systems.
Key Responsibilities
- Participate in design, development, evaluation, deployment and updating of data-driven models; apply Bayesian/ML techniques; deploy ML models in production and run experiments; identify new opportunities for research; mentor junior engineers
Technical Overview
Focus on end-to-end ML systems, integrating ML models with AWS infrastructure and robotics hardware; experience with production deployment and model maintenance.
Ideal Candidate
The ideal candidate is a senior applied scientist with strong ML experience, capable of designing and deploying production-ready models, mentoring junior engineers, and working across robotics-focused projects in AWS.
Must-Have Skills
Master's degree or foreign equivalent in Computer ScienceMachine LearningEngineeringor a related field and two years of research or work experience in the job offeredor as a Research ScientistResearch AssistantSoftware Engineeror a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree ... five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation as equivalent to the Master's degree and two years of research or work experience. Must have one year of research or work experience in: (1) programming in JavaC++Pythonor equivalent programming language; and (2) conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in businessscienceor engineering.
Nice-to-Have Skills
Master's degree in computer science or equivalentKnowledge of Machine Learning and LLM fundamentalsExperience with ML & AI systems in production
Tools & Platforms
AWSSageMakerGitJira
Required Skills
machine learningBayesian modelsdeep neural networkssupervised learningunsupervised learningML deploymentproduction MLML experimentstransformer architecturetraining and inference lifecyclesoptimization techniquesPythonJavaC++
Hard Skills
JavaC++PythonMachine LearningBayesian modelsDeep Neural NetworksSupervised LearningUnsupervised LearningML deploymentProduction MLML experimentsTransformer architectureTraining and inference lifecyclesOptimization techniques
Soft Skills
communicationteam collaborationproblem-solvingambitious and self-motivatedmentoring
Keywords for Your Resume
applied scientist iiiamazon web servicesmachine learningmlbayesian modelingdeep neural networkssupervised learningunsupervised learningml deploymentproduction mlml experimentstransformer architecturetraining and inference lifecyclesoptimization techniquespythonjavac++mlopssage makermentoringresearch experienceLLM
Deal Breakers
Lack of Master's or higher with 2+ years ML experience or Bachelor's with 5+ years, No production ML deployment experience, No experience with transformer architectures or ML lifecycle
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