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Applied Scientist II, Connect; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 142800 - 193200 USD Yearly USD 142800.00 193200.00 YEAR
Job Description & How to Apply Below
Position: Applied Scientist II, Amazon Connect (AWS)

Do you want to join a team of innovative scientists to research and develop generative AI technology that would disrupt the industry? You enjoy dealing with ambiguity and working on hard problems in a fast‑paced environment. Amazon Connect is a highly disruptive cloud‑based contact center from AWS that enables businesses to deliver intelligent, engaging, dynamic, and personalized customer service experiences. The Agentic Customer Experience (ACX) org is responsible for weaving native‑AI across the Connect application experiences delivered to end‑customers, agents, and managers/supervisors.

The Interactive AI Science team serves as the cornerstone for AI innovation across Amazon Connect, functioning as the sole science team supporting high impact products including Amazon Q in Connect, Contact Lens and other key initiatives.

As an Applied Scientist on our team, you will work closely with senior technical and business leaders from within the team and across AWS. You will distill insight from huge data sets, conduct cutting‑edge research, and foster ML models from conception to deployment. You have deep expertise in machine learning and deep learning broadly, and extensive domain knowledge in natural language processing, generative AI and LLM agents evaluation and optimization, etc.

You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch, Tensor Flow and AWS Sage Maker. The ideal candidate has the ability to understand, implement, and innovate on state‑of‑the‑art Agentic AI based systems.

Responsibilities

You will be playing a crucial role in developing the next generation contact center, designing and delivering scalable, resilient systems while maintaining a constant customer focus. You will solve highly complex engineering and scientific problems and innovate on modern contact centers in the cloud.

Basic Qualifications
  • PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
  • Experience building machine learning models or developing algorithms for business application
  • 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 using Unix/Linux
  • Experience in professional software development
Benefits

The base salary range for this position is  –  USD annually. 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 optional supplemental life plans, employee assistance program, 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 at (Use the "Apply for this Job" box below)..

Equal‑Opportunity Employer

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

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