Full Job Description
Applied Scientist, Denied Party Screening (DPS), AWS Compliance & Security Assurance
Key job responsibilities
In this role, you will:
• Drive the research, design, and development of novel ML/AI models and systems to power critical products and services
• Collaborate cross-functionally to deeply understand business requirements, customer needs, and technical constraints
• Rapidly prototype, test, and iterate on ML/AI solutions, iterating quickly based on data and feedback
• Communicate complex technical concepts to technical and non-technical stakeholders
• Stay up-to-date on the latest advancements in AI/ML and identify opportunities to apply emerging techniques
A day in the life
- Starting the day by reviewing the latest model performance metrics and identifying areas for improvement
- Brainstorming new architectures and approaches with your cross-functional team during a whiteboard session
- Diving deep into a complex dataset, leveraging advanced statistical and AI techniques to uncover hidden insights
- Prototyping a new model and running a series of experiments to optimize its performance
- Preparing a presentation to pitch your latest research findings and recommendations to product and engineering leaders
- Mentoring junior scientists, providing guidance on coding best practices and problem-solving strategies
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- Experience building machine learning models or developing algorithms for business application
- Experience programming in Java, C++, Python or related language
PREFERRED QUALIFICATIONS
- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
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