Applied Scientist II, Amazon Connect

Overview

Job ID: 2909912 | Amazon.com Services LLC

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. 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 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, with extensive domain knowledge in natural language processing, generative AI and LLMs. The ideal candidate understands, implements, and innovates on state-of-the-art generative AI based systems and is comfortable quickly prototyping and iterating ideas to build robust ML models using technologies such as PyTorch, TensorFlow, AWS SageMaker, and SparkML. The team is at an early stage, offering significant impact on ML deliverables with relatively low operational load from existing models/systems.

We have a rapidly growing customer base and an exciting charter that includes solving highly complex engineering and scientific problems. You will be playing a crucial role in developing the next generation contact center, and you will design and deliver scalable, resilient systems while maintaining a constant customer focus. Our team is leading ML and optimization features in Amazon Connect and includes scientists and engineers working on multiple projects. We use state-of-the-art science and engineering practices to address hard problems in contact center operation and management, and we move fast to implement solutions and refine them based on customer feedback. Learn more about Amazon Connect: https://aws.amazon.com/connect/

Responsibilities

• Distill insight from large data sets and conduct cutting-edge research.

• Prototype, iterate, and deploy robust ML models using tools such as PyTorch, TensorFlow, AWS SageMaker, and SparkML.

• Collaborate with senior technical and business leaders within the team and across AWS to shape ML deliverables and product direction.

• Contribute to the development of next-generation contact center features in a fast-moving, early-stage team.

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 applications
• 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

Equal Opportunity and Accessibility

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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.

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