2 days ago
Base Salary
$135k - $203k/yr
Responsibilities
- Design and implement retrieval-augmented generation solutions using external knowledge sources.
- Develop and optimize LLM fine-tuning strategies for domain adaptation and specific use cases.
- Create evaluation frameworks to measure and improve model performance.
- Build and maintain agentic workflows for autonomous AI systems.
- Collaborate with cross-functional teams to identify and implement AI solutions.
Requirements
- Bachelor's, master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- At least 3 years of machine learning or AI engineering experience.
- Strong Python programming skills and experience with PyTorch or TensorFlow.
- Practical experience deploying and fine-tuning large language models.
- Experience with vector databases and embedding models.
- Strong understanding of RAG architectures and implementation.
- Familiarity with AWS, GCP, or Azure and modern AI/ML infrastructure.
- Preferred experience with LangChain, LlamaIndex, Transformers, prompt engineering, chain-of-thought techniques, reinforcement learning, ML operations, model deployment pipelines, and open-source AI projects.
- Ability to collaborate effectively, manage multiple priorities, and follow code quality and responsible AI practices.
Benefits
- Competitive benefits package supporting work, home, and personal well-being.
- Annual discretionary bonus program.
- Opportunity for annual RSU grants.
Tech Stack
Categories
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.