Applied Scientist, NeuroSymbolic

Amazon Web Services (AWS); Boston (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

Amazon Web Services (AWS) seeks an Applied Scientist specializing in NeuroSymbolic systems to enhance machine learning capabilities. In this role, you will define and drive product features, utilizing automated reasoning to solve complex problems while collaborating closely with stakeholders. This position requires strong programming skills, a solid background in machine learning, and an innovative approach to developing cutting-edge solutions.

Qualifications

• Experience building machine learning models and algorithms.
• Publications in peer-reviewed conferences or journals.
• Experience in algorithms, data structures, and distributed computing.

Responsibilities

• Define and implement neuro-symbolic applications for complex problems.
• Design and implement scalable systems using ML and automated reasoning.
• Collaborate with users to understand requirements and drive business decisions.

Skills

Machine Learning

Automated Reasoning

Problem Solving

Verbal Communication

Written Communication

Education

PhD or Master's in CS, CE, ML or related field

Tools

Java

C++

Python

Unix/Linux

Job description

Join to apply for the Applied Scientist, NeuroSymbolic role at Amazon Web Services (AWS)

Join to apply for the Applied Scientist, NeuroSymbolic role at Amazon Web Services (AWS)

Description

The Automated Reasoning Group is looking for an Applied Scientist with interest in building scalable machine learning systems. You will be part of a world-class team building the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning.

Description

The Automated Reasoning Group is looking for an Applied Scientist with interest in building scalable machine learning systems. You will be part of a world-class team building the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning.

AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things.

You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment.

Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/

Role

As an Applied Scientist in AWS AI, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will:

• Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning
• Apply software engineering best practices to ensure a high standard of quality for all team deliverables
• Work in an agile, startup-like development environment, where you are always working on the most important stuff
• Deliver high-quality scientific artifacts
• Work with the team to help drive business decisions
  
  

Key job responsibilities

• Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning.
• Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails.
• Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains.
  
  

About The Team

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.

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

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.

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.

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.

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.

Basic Qualifications

• Experience building machine learning models or developing algorithms for business application
• 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
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  
  

Preferred Qualifications

• 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 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.


Company - Amazon Web Services, Inc.

Job ID: A2940784

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  IT Services and IT Consulting

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