Applied Scientist II - AMZ9890756

Amazon • San Diego, CA

1d • $142,800 - $193,200 • Onsite

About The Position

This role involves participating in the design, development, evaluation, deployment, and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications. The position requires developing and/or applying statistical modeling techniques (e.g., Bayesian models and deep neural networks), optimization methods, and other ML techniques to various business and engineering applications. The scientist will routinely build and deploy ML models on available data, research and implement novel ML and statistical approaches to add business value, and mentor junior engineers and scientists.

Requirements

• Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and one year of research or work experience in the job offered or as a Research Scientist, Research Assistant, Software Engineer, or a related occupation.
• OR Bachelor's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or a related field and five years of progressive post-baccalaureate research or work experience in the job offered or a related occupation.
• One year of research or work experience in programming in Java, C++, Python, or equivalent programming language.
• One year of research or work experience in conducting the analysis and development of various supervised and unsupervised machine learning models for moderately complex projects in business, science, or engineering.

Responsibilities

• Participate in the design, development, evaluation, deployment and updating of data-driven models and analytical solutions for machine learning (ML) and/or natural language (NL) applications.
• Develop and/or apply statistical modeling techniques (e.g. Bayesian models and deep neural networks), optimization methods, and other ML techniques to different applications in business and engineering.
• Routinely build and deploy ML models on available data.
• Research and implement novel ML and statistical approaches to add value to the business.
• Mentor junior engineers and scientists.

Benefits

• equity
• sign-on payments
• medical
• financial
• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level