Sr. Data Scientist, Generative AI Innovation Center

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,000 - 248,000; Full time

Job summary

Join Amazon Web Services (AWS) as a Senior Data Scientist in the Generative AI Innovation Center, where you'll work on cutting-edge Machine Learning solutions. Collaborate with leading experts to create bespoke generative AI applications and provide critical support to customers navigating their AI journeys. This mid-senior level position requires extensive expertise in generative AI technologies and a strong background in data science, offering a competitive salary and a dynamic workplace culture that values innovation and diversity.

Qualifications

• 2+ years of hands-on experience with generative AI technology.
• 5+ years of experience in algorithms, machine learning, and data structures.
• Experience building generative AI applications on AWS.

Responsibilities

• Collaborate with AI/ML scientists to develop generative AI solutions.
• Engage directly with customers to address their business challenges.
• Provide recommendations and technical guidance on generative AI adoption.

Skills

Generative AI

Machine Learning

Python

Algorithms and Data Structures

Education

Bachelor's degree

Master's degree

PhD in computer science or related field

Tools

Amazon Bedrock

Amazon SageMaker

Job description

Sr. Data Scientist, Generative AI Innovation Center

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Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

Description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply state-of-the-art Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities

• Collaborate with other AI/ML scientists and architects to research, design, develop, and evaluate novel generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Provide customer and market feedback to product and engineering teams to help define product direction
  
  

A day in the life

About The Team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. 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 never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life 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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led 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 and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• Bachelor's degree and 8 years of experience or Master's degree and 4 years of experience
• 2+ years of hands-on experience with generative AI technology
• 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing, neural deep learning methods and/or machine learning
• 5+ years of hands on experience with Python to build, train, and evaluate models
• 4+ years of technical client engagement experience
  
  

Preferred Qualifications

• Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field
• Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
• Experience with design, deployment, and evaluation of Large Language Model (LLM)- powered agents and tools and orchestration approaches
• Experience with design, development, and optimization of high-quality prompts and templates that guide the behavior and responses of LLMs
• Experience with open source frameworks for building applications powered by LLMs like LangChain, LlamaIndex, and/ or similar tools
• Hands on experience building cloud applications
  
  

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 $143,300/year in our lowest geographic market up to $247,600/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.


Company - Amazon Web Services, Inc.

Job ID: A2998244

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  IT Services and IT Consulting

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