Machine Learning Senior Engineer - Generative AI

Qualcomm • San Diego, CA

2d • $135,400 - $203,200

About The Position

Qualcomm Technologies, Inc. is seeking an experienced Machine Learning Engineer specializing in Generative AI to join its core AI team. The role focuses on designing, developing, and deploying generative AI solutions, particularly Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent systems. The position collaborates with cross-functional teams to identify opportunities and implement AI solutions.

Requirements

• Bachelor's or master's degree in Computer Science or a related technical field.
• At least 3 years of experience in Machine Learning/AI engineering.
• Strong programming skills in Python and experience with ML frameworks such as PyTorch or 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 such as AWS, GCP, or Azure.
• Strong understanding of RAG architectures and implementation.
• 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.
• Minimum qualifications also specify a bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field and 2+ years of relevant work experience; or a master's degree in one of those fields and 1+ year of relevant work experience; or a PhD in one of those fields.

Nice To Haves

• Experience with LLM frameworks such as LangChain, LlamaIndex, or 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 operations and model deployment pipelines.

Responsibilities

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

Benefits

• Competitive annual discretionary bonus program.
• Opportunity for annual RSU grants, with sales-incentive-plan employees excluded from the annual bonus.
• Competitive benefits package designed to support employees at work, at home, and at play.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior