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Qualcomm is hiring: Machine Learning Engineer - Generative AI in San Diego

Qualcomm, San Diego, CA, United States


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, focusing 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.


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, GCP, 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


$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. Salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program, opportunity for annual RSU grants, and a highly competitive benefits package. For more details about U.S. benefits, please refer to the provided link.


Equal Employment Opportunity


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. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities in the hiring process.


Staffing and Recruiting Agencies


Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies.


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.


For more information about this role, please contact Qualcomm Careers.


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