Texas Instruments

Machine Learning Research Engineer | Kilby Labs

Texas Instruments$120K — $150K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Doctoral degree in Computer Science, Electrical Engineering, or a related field
  • 3 years of relevant experience
  • Strong background in Natural Language Processing and Deep Learning frameworks
  • Experience in designing and deploying machine learning models that provide business value
  • Proficiency in Python and C/C++ programming along with software design skills
  • Strong understanding of LLM architectures and transformer models
  • Familiarity with popular deep learning frameworks and libraries for LLMs

Responsibilities

  • Lead research on advanced LLM architectures and algorithms
  • Explore applications of LLMs in code generation and optimization
  • Develop reasoning models incorporating domain-specific knowledge
  • Implement Agentic LLM systems for automating complex tasks
  • Collaborate with internal teams to define AI/ML business solutions

Benefits

  • Opportunities for career ownership and development
  • Commitment to diversity and inclusion fostering innovation
  • Competitive pay and benefits for employee well-being
Full Job Description
Job Description

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.

In this machine learning research engineer role, you'll have the chance to work on the following topics:
  • 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


Qualifications

Minimum requirements:
  • Doctoral degree in Computer Science, Electrical Engineering, Electrical and Computer Engineering, or related field
  • 3 years of related experience

Preferred qualifications:
  • Strong background in Natural Language Processing, Large Language Models, and Deep Learning frameworks
  • Proven track record of designing, developing, and deploying machine learning models/LLMs that drive business value
  • Proficiency in Python, C/C++, and software design, including debugging, performance analysis, and optimization
  • Excellent understanding of LLM architectures and transformer-based models
  • Experience with popular deep learning frameworks (e.g., PyTorch, JAX, ONNX) and LLM-specific libraries (e.g., transformers, trl, vllm)
  • Strong foundation in text processing, tokenization, and embedding techniques
  • Knowledge of few-shot learning, transfer learning, and fine-tuning
  • Knowledge of LLM performance evaluation
  • Knowledge of reinforcement learning for LLM; Experience with LLM post-training implementation, including PPO, DPO, and GRPO
  • Experience with LLM agent implementation with tool calling
  • Excellent communication and interpersonal skills, with the ability to work in a dynamic and distributed team


About the Team

TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

About Texas Instruments

National Semiconductor is a semiconductor manufacturer, specializing in analog devices and subsystems, headquartered in Santa Clara, California. The products of National Semiconductor include power management circuits, display drivers, audio and operational amplifiers, communication interface products and data conversion solutions. National's key markets include wireless handsets, displays and a variety of broad electronics markets, including medical, automotive, industrial, and test and measurement applications.

Texas Instruments Careers

Join the innovative world of Texas Instruments, a global leader in semiconductor design and manufacturing. As part of our team, you will be at the forefront of technological advancement, working alongside the brightest minds in the industry.

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Learn more about Texas Instruments
Size
31,000 employees
Market Cap
$148.9 billion
Industry
Net Income
$5.5 billion
Founded
1930
5 Year Trend
+6.5%
Revenue
$14.4 billion
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