Job ID: 2873318 | Amazon Web Services, Inc.
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.
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:
1. Define and implement new neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning.
2. Apply software engineering best practices to ensure a high standard of quality for all team deliverables.
3. Work in an agile, startup-like development environment, where you are always working on the most important stuff.
4. Deliver high-quality scientific artifacts.
5. Work with the team to help drive business decisions.
Key job responsibilities
1. Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning.
2. Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails.
3. Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains.
BASIC QUALIFICATIONS
- 1+ years of building models for business application experience
- PhD
- 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
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted: January 21, 2025 (Updated 15 days ago)
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