Machine Learning Senior Engineer - Generative AI San Diego, California, United States of America Modem Technologies Software

QUALCOMM, Inc.; San Diego (CA); On-site; USD 135,000 - 203,000; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego, CA seeks a machine learning senior engineer specializing in Generative AI to design and deploy advanced AI solutions, with emphasis on LLMs, RAG, and autonomous agent systems.

You will drive end-to-end development from research to production, collaborating across teams. The ideal candidate has 3+ years in ML/AI engineering, strong Python and ML framework skills, and experience deploying LLMs.

Qualifications

• 3+ years of ML/AI engineering experience.
• Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with LLM deployments and fine-tuning.
• Experience with vector databases and embedding models.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Strong understanding of RAG architectures and implementation.

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 implement AI solutions.

Skills

Python

Reinforcement Learning

Education

Bachelor/Master/PhD in CS/EE

Tools

Langchain

LlamaIndex

Transformers

Docker

Kubernetes

Vector databases

Embedding models

Job description

## Machine Learning Senior Engineer - Generative AISan Diego, California, United States of AmericaApply NowUse AI to find out how well you match with this jobJob ID: 3098857## **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 **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**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. OR 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. OR 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, GCP, Azure)* Strong understanding of RAG architectures and implementationQualcomm 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 [e-mail] 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).**To all 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, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.**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****:**$135,400.00 - $203,200.00The 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. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.If you would like more information about this role, please contact Qualcomm Careers.