Applied Scientist II Amazon Connect
Applied Scientist II Amazon Connect
Posted on :
28-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
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 fastpaced environment
Amazon Connect is a highly disruptive cloudbased 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 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 LLMs etc. The ideal candidate has the ability to understand implement innovate and on the stateoftheart generative AI based systems. You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch Tensorflow AWS Sagemaker and SparkML. Our team is at an early stage so you will have significant impact on our ML deliverables with little operational load from existing models/systems.
We have a rapidly growing customer base and an exciting charter in front of us 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 contact centers in the cloud. The position represents a rare opportunity to be a part of a fastgrowing business soon after launch and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center and get the opportunity to design and deliver scalable resilient systems while maintaining a constant customer focus.
Our team is leading ML and optimization features in Amazon Connect. We are a team of scientists and engineers working on multiple science projects for Amazon Connect. We use stateoftheart science and engineering practices to address the hard problems in contact center operation and management for our customers and we move fast to implement solutions and refine them based on customer feedback.
Learn more about Amazon Connect here: the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
PhD or Masters 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 toptier peerreviewed 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 highperformance computing
Experience using Unix/Linux
Experience in professional software development
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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon Connect is a highly disruptive cloudbased 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 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 LLMs etc. The ideal candidate has the ability to understand implement innovate and on the stateoftheart generative AI based systems. You are comfortable with quickly prototyping and iterating your ideas to build robust ML models using technology such as PyTorch Tensorflow AWS Sagemaker and SparkML. Our team is at an early stage so you will have significant impact on our ML deliverables with little operational load from existing models/systems.
We have a rapidly growing customer base and an exciting charter in front of us 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 contact centers in the cloud. The position represents a rare opportunity to be a part of a fastgrowing business soon after launch and help shape the technology and product as we grow. You will be playing a crucial role in developing the next generation contact center and get the opportunity to design and deliver scalable resilient systems while maintaining a constant customer focus.
Our team is leading ML and optimization features in Amazon Connect. We are a team of scientists and engineers working on multiple science projects for Amazon Connect. We use stateoftheart science and engineering practices to address the hard problems in contact center operation and management for our customers and we move fast to implement solutions and refine them based on customer feedback.
Learn more about Amazon Connect here: the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
PhD or Masters 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 toptier peerreviewed 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 highperformance computing
Experience using Unix/Linux
Experience in professional software development
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 for more information. If the country/region youre applying in isnt 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 $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
