#Machine Learning Engineer - Generative AI

Qualcomm
San Diego, CA, United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$114,500.0 - $171,700.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Software Quality Computer Programming Computer Engineering Python (Programming Language) Open Source Technology Performance Tuning Tensorflow Reinforcement Learning
+9 more
Google Cloud Pytorch Large Language Models Prompt Engineering Generative AI Information Technology Machine Learning Operations GPT Microservices

Job description

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., * 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

Requirements

  • Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or related field., * 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

Benefits & conditions

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 : $114,500.00 - $171,700.00

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 .

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