Staff Machine Learning Engineer - Generative AI
Actively Hiring
Full-time $155k - $232k Posted 9 months ago
Responsibilities
- check_circle Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources
- check_circle Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation
- check_circle Create robust evaluation frameworks for measuring and improving model performance
- check_circle Build and maintain agentic workflows for autonomous AI systems
- check_circle Collaborate with cross-functional teams to identify opportunities and implement AI solutions
Basic qualifications
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, or related work experience.
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
- 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
Tags & Focus Areas
Fulltime Ai Machine Learning Mlops Generative Ai Pytorch Tensorflow Robotics
About Qualcomm
Company: Qualcomm Canada ULC Job Area: Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in deep learning, to join a high-caliber team of engineers inventing machine learning technology to provide best-in-class solutions while running with the most efficient use of power, memory, and computation. Minimum Qualifications: - Master's degree in Computer Engineering, Computer Science, Electrical Engineeri...