Sr. Applied Scientist , Amazon Connect

Overview

Do you want to join a team of innovative scientists to research and develop generative AI technology that would disrupt the industry? Do 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 organization weaves 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, supporting high-impact products including Amazon Q in Connect, Contact Lens and other key initiatives.

As a Senior Applied Scientist on our team, you will work closely with senior technical and business leaders within the team and across AWS. You distill insight from large data sets, conduct cutting-edge research, and foster ML models from conception to deployment. You have deep expertise in machine learning and deep learning, with extensive domain knowledge in natural language processing, LLMs, and Agentic AI.

You will prototype and iterate ideas to build robust ML models using PyTorch, Tensor Flow, and AWS Sage Maker. The ideal candidate can understand and innovate on state-of-the-art Agentic AI-based systems.

We have a rapidly growing customer base and an exciting charter that includes solving highly complex engineering and scientific problems. We are looking for passionate, talented, and experienced people to join us to innovate on modern cloud-based contact centers. This role offers a rare opportunity to shape technology and product as we grow, designing and delivering scalable, resilient systems with a constant customer focus.

Learn more about Amazon Connect:

Diverse Experiences. AWS values diverse experiences. If you do not meet all qualifications listed, we encourage you to apply. If your career is just starting, doesn’t follow a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from startups to Global 500 companies.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster inclusion and empower us to embrace our differences. Ongoing events and learning experiences, including CORE and Amaze Con conferences, celebrate diversity.

We’re committed to performance growth with knowledge-sharing, mentorship, and career-advancing resources to develop well-rounded professionals.

We value work-life harmony and strive for flexibility to support both work success and home life.

• 3+ years of building machine learning models for business applications
• PhD, or Master’s degree with 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

• PhD
• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large-scale distributed systems such as Hadoop, Spark, etc.

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 during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). 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 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 options for supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at .

USA, WA, Seattle -  -  USD annually

Company -  Services LLC

Job : A3139836