AI Engineer

Key Skills

Algorithms, AWS, Azure, Data structuring, Docker, Effective communication skills, Graph analytics, High performance computing- HPC, Java Programming, Kubernetes-K8s, Natural Language Processing (NLP), NoSQL, Python Programming

Job Description

Beyond Limits is seeking an innovative, experienced artificial intelligence engineer to join the Reasoning Group within our Technology org. The successful candidate will work with other AI Engineers, software engineers and data scientists to develop and extend state-of-the-art reasoning and knowledge-driven technologies used in high-stakes settings.

Beyond Limits is a pioneering Artificial Intelligence company and a satellite of NASA's Jet Propulsion Lab and Caltech. Beyond Limits cognitive computing technology combines numeric and symbolic techniques to provide advanced solutions that go far beyond conventional AI.

Job Duties/Responsibilities

• Design, develop or enhance symbolic reasoning technologies for use in production environments
• Contribute to software architecture and design decisions and implementation
• Design and build robust, scalable microservices
• Communicate technical work and findings both verbally and through written reports and visualizations
• Work in a collaborative environment to brainstorm, design, implement, and deliver solutions to challenging problems

Qualifications and Skills

• 2+ years of relevant work experience
• MS or PhD in Computer Science, Computer Engineering, or related discipline
• Strong computer science fundamentals, understanding of algorithms, data structures
• Experience with database technologies, relational or NoSQL, graph databases
• Programming proficiency in Python or Java
• Quick to learn new technologies and approaches and communicate a basic understanding of them to team members

Preferred Requirements

• Proficient in symbolic AI, constraint satisfaction problems, search algorithms
• Familiarity with case-based reasoning or analogy-making systems
• Experience with knowledge engineering, NLP, description logics
• Experience with graph-based models and machine learning algorithms
• Fluent with AWS and/or Azure, Docker, Kubernetes
• Experience building scalable, high-throughput cloud deployments
• Research experience with high impact publications
• Strong oral and verbal communication skills

Please note: This position is located in our Glendale, CA headquarters and is eligible to participate in the company's hybrid 3/2 work model.

Hiring Range: The hiring range for this position in Glendale, CA is $117,999 to $142,313 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or company stock options may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.