Machine Learning Research Engineer | Kilby Labs

Texas Instruments•Dallas, TX

About The Position

We are seeking a highly motivated Machine Learning Research Engineer to join our Embedded AI team to work on cutting-edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will lead the efforts on advancing the state-of-the-art in LLM architectures, Agentic LLM, and Reasoning LLM. Your work will involve exploring innovative approaches to integrate LLMs with domain knowledge, related tools, and other AI techniques to achieve human-like decision-making capabilities for business impact.

Requirements

Highly motivated Machine Learning Research Engineer
Experience with cutting-edge Large Language Model (LLM) research and development for Edge AI applications
Ability to lead efforts on advancing the state-of-the-art in LLM architectures, Agentic LLM, and Reasoning LLM
Experience exploring innovative approaches to integrate LLMs with domain knowledge, related tools, and other AI techniques
Experience to achieve human-like decision-making capabilities for business impact

Responsibilities

Explore the application of LLMs in code generation, evaluation, and optimization
Conduct research and development on novel and efficient LLM architectures, training algorithms, and post-training algorithms
Design and develop new reasoning models with domain-specific knowledge
Design and implement advanced Agentic LLM system for complex task automations
Collaborate with system teams and internal business teams to define and implement AI/ML solutions for core business