The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Responsibilities
Innovate with the latest GenAI/LLM/VLM technology to build highly automated solutions for efficient risk evaluation and automated operations
Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to create impactful business value
Learn, explore and experiment with the latest machine learning advancements to create the best customer experience
Requirements
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Nice to have: leading large-scale AI transformation projects
Nice to have: strong publication record in top-tier conferences/journals such as CVPR, NeuIPS, ICML, ACL, EMNLP
Biostatistician Research Scientist collaborating with faculty on study design, data management, programming, analysis, visualization, and dissemination.
Compensation
$78,000 to $90,000
Responsibilities
Collaborate on research design
Data management and integration
Advanced programming and analysis
Visualization and dissemination
Collaboration and mentorship
Requirements
Graduate level training in Biostatistics, Statistics, Data Science or related area
Nice to have: Unsupervised learning methods
Nice to have: Hard and soft clustering
Nice to have: Experience with Type 2 Diabetes research
Lead the development of evaluation frameworks and data collection protocols for robotic capabilities, focusing on designing how to measure, stress-test, and improve robot behavior across real-world tasks.
Compensation
The base salary range for this position is listed below... 183,800.00 - 248,700.00 USD annually
Responsibilities
Design and implement evaluation frameworks to measure robot capabilities across structured tasks, edge cases, and real-world scenarios
Develop task definitions, success criteria, and benchmarking methodologies that enable consistent and reproducible evaluation of policies
Create and refine data collection protocols that generate high-quality, task-relevant datasets aligned with model development needs
Build and iterate on teleoperation workflows and operator interfaces to support efficient, reliable, and scalable data collection
Analyze evaluation results and collected data to identify performance gaps, failure modes, and opportunities for targeted data collection
Lead and scale developer programs in agriscience, engaging ecosystems, advocating NVIDIA technologies, and driving adoption across verticals.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field
Nice to have: building vertical-specific solutions
Annual Salary Range (based on full-time 40 hours per week) Job Profile: Researcher III / Annual Salary Range: $83,600 - $150,500
Responsibilities
Developing and applying high-fidelity simulation cases in tools like PeleLMeX for studying combustion in various burner geometries.
Learning, maintaining, and enhancing the Kynema suite of incompressible solvers, including contributing new capabilities for complex applications like estuary flows, underwater turbines, and power lines.
Implementing advanced numerical methods such as immersed boundary methods to model intricate geometries and bathymetry in flow simulations.
Developing and refining property prediction models within computational frameworks such as FuelLib, utilizing experimental data to enhance accuracy and predictive capabilities.
Maintaining and ensuring the functionality of critical codebases and managing shared repositories for knowledge transfer and collaborative development.
Requirements
PhD in a relevant field
Master's Degree and 3 or more years of experience
Bachelor's Degree and 5 or more years of experience
Lead and scale developer programs in agriscience, champion NVIDIA technologies, and drive adoption across the developer ecosystem.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 184,000 USD – 287,500 USD.
Responsibilities
Serve as the trusted technical advisor and champion for the developer ecosystem in agriscience
Accelerate critical workloads by demonstrating solutions that integrate NVIDIA stack into developer products
Advise on technical enablement resources such as sample code, guides, and demonstration pipelines
Guide partners and startups through onboarding and integration with NVIDIA’s programs
Map, track, and monitor the developer ecosystem to identify growth opportunities
Requirements
Master’s or Doctor’s degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience)
Nice to have: building vertical-specific solutions
Nice to have: real-time processing
Nice to have: low-latency decision-making
Nice to have: designing and implementing systems for real-time processing
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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