Jobs for People with MS: National MS Society

Description

Amazon's Artificial General Intelligence (AGI) Team mission is to build the world’s best Artificial General Intelligence that will enable every Amazon business to deliver more value to its customers and benefits humanity. AGI foundational models and services can be used across all businesses at Amazon. The Conversational Assistant Services (CAS) org is a key part of Amazon AGI that enables the creation of the most natural and capable AI assistants that orchestrate real-world services, devices/appliances, and AI models.

We are looking for Senior Applied Science Manager who will design the Conversational Assistant memory and personalization and play a key role in the next generation of AI powered Conversational Assistants.

We are open to candidates located in Seattle WA, Irvine CA or Sunnyvale CA

Key job responsibilities

Key job responsibilities

• Lead and manage a team of applied and research scientists responsible for building personalization

• Collaborate with cross-functional teams to ensure that Amazon’s AI models are aligned with human preferences.

• Identify and prioritize research opportunities that have the potential to significantly impact our AI systems.

• Mentor and guide team members to achieve their career goals and objectives.

• Communicate research findings and progress to senior leadership and stakeholders.

We are open to hiring candidates to work out of one of the following locations:

Bellevue, WA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Basic Qualifications

- - Masters in Computer Science, Linguistics, or a related field.

- - 10+ years of experience in natural language processing, machine learning, or a related field.

- - Proven track record of leading and managing science teams handling personalization and affinity mining.

- - Expert knowledge of machine learning algorithms and techniques.

- - Familiarity with large-scale data processing and storage systems.

- - Excellent communication and interpersonal skills.

- - Ability to work in a fast-paced, collaborative environment

Preferred Qualifications

• Experience with building applications using Large language models

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,000/year in our lowest geographic market up to $340,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.