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Automated Reasoning Jobs in New York (NOW HIRING)

Cogent Security

AI Research Engineer

Manhattan, NY · On-site

The AI Research Engineer will conduct original research in automated reasoning and AI-driven code analysis, while collaborating with engineering teams to translate research into practical ...

SpaceXAI

Mobile iOS Engineer

Manhattan, NY · On-site

$154K/yr

SpaceXAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing. It is a sub-organization of SpaceX. Founded in 2023, the ...

Drata Inc

Senior AI Engineer

New York, NY · On-site +1

$114K - $157K/yr

Automated Reasoning Over Regulations & Evidence * Build AI systems that reason over structured and unstructured data to support regulatory interpretation, control alignment, and evidence validation.

SpaceXAI

Infrastructure Security Engineer

Manhattan, NY · On-site

$157K/yr

SpaceXAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing. It is a sub-organization of SpaceX. Founded in 2023, the ...

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Automated Reasoning information

What is automated reasoning?

Automated reasoning is a field of computer science and mathematical logic dedicated to understanding how reasoning can be automated using computers. It involves developing algorithms and software that allow computers to prove theorems, verify software and hardware systems, and solve logical problems. Automated reasoning is used in areas such as formal verification, artificial intelligence, and knowledge representation, helping to ensure systems behave as intended and are free of certain types of errors.

What are the key skills and qualifications needed to thrive as an automated reasoning engineer?

To thrive as an Automated Reasoning Engineer, you need a strong background in computer science, logic, and formal verification, often supported by an advanced degree in a related field. Familiarity with formal methods tools (such as SMT solvers, model checkers), programming languages like Python, C++, or OCaml, and experience with verification frameworks are typically important. Analytical thinking, problem-solving, and effective communication skills help engineers tackle complex proofs and collaborate with interdisciplinary teams. These skills are crucial for ensuring the reliability and correctness of software and hardware systems in safety-critical environments.

What are some common challenges faced by professionals working in automated reasoning roles?

Professionals in Automated Reasoning often encounter challenges such as handling highly complex logical problems, ensuring the scalability of reasoning algorithms, and integrating automated reasoning tools with existing systems. Collaborating with interdisciplinary teams—including software engineers, data scientists, and domain experts—can present communication hurdles, as explaining formal logic concepts to non-experts is sometimes necessary. Additionally, staying up-to-date with the latest research and advancements in theorem proving and formal verification is crucial for continued success in this rapidly evolving field.

What are popular job titles related to Automated Reasoning jobs in New York?

For Automated Reasoning jobs in New York, the most frequently searched job titles are:

What job categories do people searching Automated Reasoning jobs in New York look for?

The top searched job categories for Automated Reasoning jobs in New York are:

What cities in New York are hiring for Automated Reasoning jobs?

Cities in New York with the most Automated Reasoning job openings:

Automated Reasoning jobs near you
Infographic showing various Automated Reasoning job openings in New York as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Applied Scientist, Automated Reasoning

Amazon

New York, NY • On-site

Full-time

Posted 4 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,096 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Application deadline: Applications will be accepted on an ongoing basis
Applied Scientists in AWS Automated Reasoning develop and apply bleeding-edge formal methods, automated reasoning techniques, and neurosymbolic approaches to ensure the security, reliability, and correctness of Amazon/AWS services and customer applications. Our tools are called billions of times daily, powering the backbone of Amazon's products and services. We are changing the way computer systems are developed and operated, raising the bar for security, durability, availability, and quality.
At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences

Application areas span cloud infrastructure verification, cryptographic assurance, AI safety, drone safety, and formal guarantees for generative AI systems. Our methods range from interactive theorem proving and constraint solving to neuro-inspired proof search
This is a unique opportunity to get in early on a fast-growing segment of the business and help shape the technology, product, and business. You will have a chance to utilize your deep technical expertise within a fast-moving environment and make a large business and customer impact.
Key job responsibilities
Design and implement algorithms and formal methods for automated reasoning, including constraint solving, model checking, static analysis, theorem proving, and program synthesis to verify the correctness, security, and reliability of computing systems.
Solve large or significantly complex problems that require deep knowledge and scientific innovation in your domain; own strategic problem solving and take the lead on design, implementation, and delivery of solutions with long-term quantifiable impact.
Develop new decision procedures, heuristics, and search strategies that improve the scalability and accuracy of verification tools; build and deploy production-grade automated reasoning systems at Amazon scale.
Explore and apply generative AI and machine learning techniques to enhance automated reasoning capabilities, including learning-based heuristics for search and optimization, neural approaches to symbolic reasoning, and methods for verifying the correctness of AI-generated code.
Develop automated reasoning techniques for generative AI and agentic coding systems, including methods for ensuring the safety and alignment of autonomous software agents and applying formal guarantees to large language model outputs.
Conduct original research snd publish findings in peer-reviewed venues.
Work with customer teams to understand the nature of their software and the properties they need to establish; identify tools and methods capable of addressing verification needs, including novel analysis capabilities.
Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing deep knowledge and experience; collaborate with partner teams to translate verification capabilities into production systems.
Mentor scientists and engineers on formal methods, neurosymbolic techniques, and best practices for building reliable automated reasoning systems; assist in career development of others.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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