Machine Learning Senior Engineer - Generative AI

QUALCOMM, Inc.; San Diego (CA); In loco; USD 135.000 - 203.000; Tempo pieno

Vantaggi offerti da questo lavoro

Annual bonus program

RSU grants

Comprehensive benefits

Descrizione del lavoro

Qualcomm Technologies, Inc. is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. The role focuses on designing, developing, and deploying cutting-edge generative AI solutions, with emphasis on LLMs, RAG, and intelligent agent systems.

You will design RAG-based enhancements, tune LLMs for domain adaptation, and build evaluation and deployment pipelines. Collaboration with cross-functional teams across the organization is essential to drive AI

Competenze

• 3+ years of ML/AI engineering experience.
• Proficient in Python and ML frameworks (PyTorch, TensorFlow).
• Experience with LLM deployments and fine-tuning; RAG knowledge.

Mansioni

• Design and implement RAG-based solutions for enhanced LLMs with external data.
• Develop fine-tuning strategies for domain-specific use cases.
• Create evaluation frameworks to measure model performance.
• Build and maintain agentic workflows for autonomous AI systems.
• Collaborate with cross-functional teams to deploy AI solutions.

Descrizione del lavoro

Company:

Qualcomm Technologies, Inc.

Job Area:

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.
• 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.
• 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 implementation

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‑[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).

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 - $203,200.00

• 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.
• 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.