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Senior Machine Learning Engineer - Generative AI

A global leader in wireless technology innovation and the development of mobile technologies.
$128,000 - $192,000
Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI

Description For Senior Machine Learning Engineer - Generative AI

Qualcomm Technologies, Inc. is seeking an experienced Senior Machine Learning Engineer to join their core AI team, focusing on cutting-edge Generative AI solutions. This role presents an exciting opportunity to work at the forefront of AI technology development within a global leader in wireless innovation.

The position involves designing and implementing sophisticated AI solutions, with a particular emphasis on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. You'll be responsible for developing and optimizing LLM fine-tuning strategies, creating robust evaluation frameworks, and building autonomous AI systems through agentic workflows.

As a Senior Machine Learning Engineer, you'll be working with state-of-the-art AI technologies and frameworks, including PyTorch, TensorFlow, and modern cloud platforms. The role requires strong expertise in Python programming and practical experience with LLM deployments, vector databases, and embedding models.

Qualcomm offers an exceptional environment for professional growth, providing comprehensive benefits including world-class health coverage, financial planning programs, and continuous learning opportunities. You'll be part of a collaborative team working on innovative AI solutions that impact technology globally.

The ideal candidate will bring 3+ years of Machine Learning/AI engineering experience, strong analytical and problem-solving skills, and excellent communication abilities. This role offers competitive compensation ranging from $128,000 to $192,000, along with additional benefits including equity opportunities and annual bonuses.

Working at Qualcomm's San Diego location, you'll be part of a company that values innovation, collaboration, and professional development. The position offers opportunities to work alongside leading engineering and technology experts, contributing to breakthrough technologies that shape the future of AI and wireless technology.

This role is perfect for someone passionate about Generative AI, eager to work on cutting-edge technology, and looking to make a significant impact in the field of machine learning. Join Qualcomm to be part of a team that's pushing the boundaries of what's possible in AI technology while enjoying excellent career growth opportunities and comprehensive benefits.

Last updated 3 days ago

Responsibilities For Senior Machine Learning Engineer - Generative AI

  • 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 For Senior Machine Learning Engineer - Generative AI

Python
  • 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
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration abilities

Benefits For Senior Machine Learning Engineer - Generative AI

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
  • World-class health coverage
  • Financial planning programs
  • Tuition reimbursement
  • Continuous learning and development programs
  • Mentorship programs
  • Comprehensive benefits package

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