#Machine Learning Engineer - Generative AI

Latitude; Northern, San Diego (KY, CA); Hybrid; USD 115,000 - 172,000; Full time

Job summary

Qualcomm Technologies, Inc. seeks an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. You will design, develop, and deploy cutting-edge generative AI solutions focusing on LLMs, RAG, and intelligent agent systems.

The role involves building RAG-based solutions, fine-tuning strategies, evaluating model performance, and creating autonomous AI workflows in a collaborative, cross-functional environment.

Qualifications

• Bachelor's degree in a related field is required.
• Experience with LLM frameworks and generative AI is preferred.
• Strong background in ML deployment and RAG is desirable.

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

Skills

Python

PyTorch

TensorFlow

LLM deployments

Fine-tuning

Vector databases

Embeddings

AWS

GCP

Azure

RAG architectures

Agile

Communication

Code quality

AI ethics

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field

Tools

Langchain

LlamaIndex

Transformers

Job description

Company

Qualcomm Technologies, Inc.

Job Area

Engineering Group, Engineering Group > Modem Technologies Software

General Summary

• This position is not eligible for Qualcomm immigration sponsorship.***

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.

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 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, GCP, 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

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Pay Range And Other Compensation & Benefits

$114,500.00 - $171,700.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.