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# Machine Learning Research Engineer, Senior

- **Company:** Qualcomm
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,800.0 - $211,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Artificial Neural Networks, Information Systems, Computer Programming, Computer Engineering, Software Debugging, Python (Programming Language), Logical Volume Manager, Machine Learning, Software Engineering, Pytorch, Evaluation Pipelines, Large Language Models, Deep Learning, Parallel Computation, Information Technology, Hardware Acceleration
- **Published:** October 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=37f6b6f276051493

## About the Role

* Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience., Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field., * PhD in AI, Computer Science, Engineering, Information Systems, or related field, or MS with 4+ years of machine learning research, or related work experience.

 * Strong background in computer science and deep learning basics

 * Strong programming skills in Python and PyTorch. Proficiency in designing and implementing complex training and evaluation pipelines.

 * Exceptional analytical, development, debugging and problem solving skills

Preferred qualifications:

 * Experience with LLM, LVM, LMM models, and other neural network architectures.

 * Excellent interpersonal, written, and oral communications skills

 * Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems.

 * Design and develop generalized AI solutions, including retrieval and agentic systems.

 * Experience in LLM reasoning or inference acceleration research

 * Experience of on-device AI model production or exposure to mobile / edge device environments

 * First author publications experience at major AI conferences, e.g., NeurIPS, ICML, and ICLR