Senior Applied Scientist, NeuroSymbolic

Job ID: | 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, be 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: 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, always focusing on the most important work. Deliver high‑quality scientific artifacts. Collaborate 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 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. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture that empowers 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 5+ years of industry or academic research experience PhD Experience programming in Java, C++, Python or related language 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. 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. Our compensation reflects the cost of labor across several U.S. 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 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 This position will remain posted until filled. Applicants should apply via our internal or external career site. Posted: October 8, 2025 (Updated about 2 months ago) Posted: June 20, 2024 (Updated 7 months ago) Share this job Important FAQs for current Government employees Before proceeding, please review the following FAQs: #J-18808-Ljbffr