Machine Learning Engineer – Generative AI Job at Qualcomm Technologies in San Di

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Modem Technologies Software

General Summary

We are seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team.

The ideal candidate will be responsible for designing, developing, and deploying cutting‑edge generative AI solutions, with a focus on Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and Intelligent agent systems.

Key Responsibilities

• Design and implement RAG‑based solutions to enhance LLM capabilities with external knowledge sources
• Develop and optimize LLM fine‑tuning strategies for specific use cases and domain adaptation
• Create robust evaluation frameworks for measuring and improving model performance
• Build and maintain agentic workflows for autonomous AI systems
• Collaborate with cross‑functional teams to identify opportunities and implement AI solutions

Minimum Qualifications

• Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2 years of Software Engineering, Electrical Engineering, or related work experience
• Master’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1 year of Software Engineering, Electrical Engineering, or related work experience
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, or related technical field
• 3 years of experience in Machine Learning/AI engineering
• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Practical experience with LLM deployments and fine‑tuning
• Experience with vector databases and embedding models
• Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, Google Cloud Platform, Azure)
• Strong understanding of RAG architectures and implementation

Preferred Qualifications

• Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers)
• Knowledge of prompt engineering and chain‑of‑thought techniques
• Experience with containerization and microservices architecture
• Background in Reinforcement Learning
• Contributions to open‑source AI projects
• Experience with ML ops and model deployment pipelines

Skills and Competencies

• Strong problem‑solving and analytical skills
• Excellent communication and collaboration abilities
• Experience with agile development methodologies
• Ability to balance multiple projects and priorities
• Strong focus on code quality and best practices
• Understanding of AI ethics and responsible AI development

Pay range and Other Compensation & Benefits

Pay range: $128,000.00 – $192,000.00.

EEO Employer Statement

Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Accessibility Statement

If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Upon request, Qualcomms will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.