Machine Learning Engineer - Generative AI

Qualcomm

San Diego (CA)

On-site

USD 104,000 - 156,000

Full time

14 days+

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Benefits offered by this job

Annual discretionary bonus program
RSU grants
Comprehensive benefits package

Job summary

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

The role requires hands-on work with LLM frameworks, prompt engineering, and ML deployment pipelines, collaborating with cross-functional teams to drive practical AI outcomes.

Qualifications

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
  • Experience with LLM frameworks and prompt engineering preferred.
  • Containerization and microservices architecture experience.
  • Background in Reinforcement Learning and open-source contributions.
  • Experience with ML ops and model deployment pipelines.

Responsibilities

  • Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources.
  • Develop and optimize LLM fine-tuning strategies for domain adaptation.
  • Create robust evaluation frameworks for measuring 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
LLM deployments
Problem solving
Communication
Agile development
RAG architectures
Cloud platforms
Model evaluation
Analytical thinking
Team collaboration

Education

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

Tools

Langchain
LlamaIndex
Transformers
Docker
Kubernetes
AWS
GCP
Azure

Job description

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.
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

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

EEO Employer: 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.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Pay range and Other Compensation & Benefits:

$104,000.00 - $156,000.00

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.

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