Applied Scientist II, Central Learning Solutions Science

Socket.dev; Bellevue (WA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

RSUs

Job summary

Amazon's Central Learning Solutions (CLS) Science team in Amazon Operations seeks an Applied Scientist to drive design, research, and development of science initiatives for leadership and associate development. You will lead research on learning trends and create real-time personalized recommendations using GenAI for leadership and associates through chat assistants.

You will collaborate with a large team, communicate insights to both technical and non-technical audiences, and advance learning

Qualifications

• PhD or Master's with 4+ years in CS/CE/ML or related field.
• Experience with patents or publications at top-tier conferences or journals.
• Experience programming in Java, C++, Python.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing.

Responsibilities

• Apply science models to extract actionable information from learning feedback.
• Build recommender systems to generate personalized learning interventions for Ops employees.
• Leverage GenAI/LLM technology to scale learning experience workflows.
• Design and implement metrics to evaluate AI models.
• Present deep dives and analysis to technical and non-technical stakeholders.

Skills

Java

C++

Python

GenAI

Data mining

Distributed computing

Algorithms

Education

PhD

Master's degree

Tools

MxNet

TensorFlow

Job description

The Central Learning Solutions (CLS) Science team in Amazon Operations builds state-of-the-art solutions for enhancing leadership and associate development across the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. As an Applied Scientist on the team, you will play a critical role in driving the design, research, and development of these science initiatives.

The ideal candidate will lead the research on learning and development trends, and develop impactful learning journey roadmap that align with organizational goals and priorities. By parsing the information of different learning courses, they will utilize the latest advances in Gen AI technology to generate the personalized recommendations in real-time for the leadership and associates through chat assistants. As a part of this role, this candidate will collaborate with a large team of experts in the field and move the state of learning experience research forward. They should have the ability to communicate the science insights effectively to both technical and non-technical audiences.

Key job responsibilities

• Apply science models to extract actionable information from learning feedback
• Build recommender systems to generate personalized learning interventions for Ops employees to drive business outcomes and behavioral changes
• Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
• Design and implement metrics to evaluate the effectiveness of AI models
• Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners

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 in patents or publications at top-tier peer-reviewed conferences or journals
• 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 in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
• Experience with popular deep learning frameworks such as MxNet and Tensor Flow

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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