AI Foundations - Research Engineer

At IBM Research, we are the innovation engine of IBM. Exploring what’s next in computing and shaping the technologies the world will rely on tomorrow. From advancing AI and hybrid cloud to pioneering practical quantum computing, we anticipate challenges and unlock new opportunities for clients, partners, and society. Working in Research means joining a team that accelerates discovery at the intersection of high-performance computing, AI, quantum, and cloud. You’ll collaborate with leading scientists, engineers, and visionaries to push boundaries and turn ideas into reality. With a culture built on curiosity, creativity, and collaboration, IBM Research offers the opportunity to grow your career while contributing to breakthroughs that transform industries and change the world.

As a Back-End Developer specializing in Artificial Intelligence, you will work in an agile, collaborative environment across software architecture, understanding both front-end and back-end concerns, while specializing in the back-end.

You will develop expertise in Artificial Intelligence Solutions in areas such as machine learning, deep learning, and natural language processing.

Your primary responsibilities will include

• Develop Server-Side Logic: Design, develop, and deploy server-side applications using programming languages like Ruby, Python, Java, and Node.js, ensuring seamless integration with front-end components.
• Implement Database Solutions: Plan, analyze, design, and construct databases, implementing industry standards and best practices for database security and developing structured query language (SQL) queries and back-end database stored procedures.
• Create RESTful APIs: Develop and maintain RESTful APIs and web services, enabling efficient data exchange between client and server applications.
• Apply AI Expertise: Develop and implement Artificial Intelligence solutions, focusing on areas such as machine learning, deep learning, and natural language processing, to drive business value and innovation.
• Collaborate with Teams: Work closely with cross-functional teams to understand user and system requirements, ensuring that back-end solutions meet business needs and align with overall project goals.
• Exposure to Agile Development: Familiarity with working in agile, collaborative environments, understanding both front-end and back-end concerns, with a focus on back-end development.
• Programming Language Proficiency: Experience working with programming languages such as Ruby, Python, Java, and Node.js, including server-side JavaScript.
• Database Development: Exposure to planning, analyzing, designing, and constructing databases, including implementing industry standards and best practices for database security.
• API Development: Experience with developing and maintaining RESTful APIs and web services, enabling efficient data exchange between client and server applications.
• Artificial Intelligence Foundations: Exposure to Artificial Intelligence concepts, including machine learning, deep learning, and natural language processing, with the ability to develop and implement AI solutions.
• Brain Inspired Algorithms: Exposure to brain inspired algorithms, learning with memories, and knowledge representation and reasoning, with the ability to apply these concepts to Artificial Intelligence solutions.
• Advanced AI Topics: Familiarity with symbolic and trainable logic, causal inference, knowledge induction, computer vision, and NLP, with the ability to explore and apply these concepts to drive business value and innovation.
• Quantum and Neomorphic Architectures: Exposure to quantum and neomorphic architectures for next-generation AI, with the ability to learn and apply these concepts to develop innovative Artificial Intelligence solutions. United States Infrastructure & Technology Entry Level Cambridge, US