Key job responsibilities
• Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries
• Drive end-to-end Machine Learning and GenAI projects that have a high degree of ambiguity, scale, complexity.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production
• Work with a scientists and software engineers to deliver machine-learning and science solutions to production.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Be the technical practitioner in AI/ML; lead efforts within this team and across other teams; research new and innovative science approaches.
• Able to communicate scientific methodology clearly to audiences from diverse backgrounds
About the team
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
- Experience with AI, Big Data, large scale distributed systems, online recommendation, personalization, or search
- Experience with AI, Big Data, large scale distributed systems, online recommendation, personalization, or search
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, Bellevue - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually