Machine Learning Research Engineer
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Change the world. Love your job.
We are seeking a highly motivated MachineLearningResearchEngineerto 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 youll 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
Required Experience:
IC
Key Skills
About Company
Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation ... View more
