Applied Scientist III, Amazon Connect Job at Amazon in New York
Amazon, New York, NY, United States, 10261
Overview
Job ID: 3081545 | Amazon Development Center U.S., Inc. In the AWS Applied AI Solutions organization, the team aims to provide business applications that leverage Amazon’s experience to help millions of companies manage day-to-day operations. We deliver intuitive and differentiated technology solutions to solve enduring business challenges, blending vision with curiosity to build turnkey, opinionated solutions. We partner with customers who prefer to buy over build, offering solutions that are easy to buy and use.
The Applied Scientist will contribute to the development of AI systems for a new product area. In this role, you will partner with business and technical teams to design and document requirements and develop technical strategies and applied science roadmaps for feature delivery. The role extends existing scientific techniques and invents new ones to meet specific customer needs at the product level. You should be comfortable working semi-autonomously on difficult and visible problems. You will work closely with technical leaders within the team. We seek scientists who maintain high standards while moving quickly, prioritizing rapid experimentation and responsible AI development to deliver measurable customer impact.
Responsibilities
- PhD, or Master’s degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business applications
- Experience programming in Java, C++, Python or related languages
- Experience with neural deep learning methods and machine learning
About the team
Diversity of experiences is valued. AWS encourages candidates to apply even if they do not meet all preferred qualifications. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of customers from startups to Global 500 companies with our robust suite of products and services.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams, and bold ideas, fresh perspectives, and passionate voices drive our continual innovation.
Mentorship & Career Growth
We strive to raise our performance bar and provide opportunities for knowledge sharing, mentorship, and career advancement to help you grow as a professional.
Work/Life Balance
We value work-life harmony and strive for flexibility to support employees both at work and at home, enabling sustained success.
Basic Qualifications
- PhD, or Master’s degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business applications
- Experience programming in Java, C++, Python, or related languages
- Experience with neural deep learning methods and machine learning
Preferred Qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, SciPy, 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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 the Amazon accommodations information page for more details. If the country or 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 $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on factors including market location and job-related knowledge, skills, and experience. Amazon is a total compensation company; depending on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total package, in addition to a full range of medical, financial, and/or other benefits.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
Posted: April 14, 2025
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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.