At a Glance
- Tasks: Lead the design of LLM-powered search systems and mentor your team.
- Company: Top SaaS company in Toronto with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Join a dynamic team and drive experimentation in a collaborative environment.
- Why this job: Make an impact in AI by enhancing retrieval effectiveness with cutting-edge technology.
- Qualifications: 5+ years in ML systems and strong Python skills required.
The predicted salary is between 135000 - 165000 $ per year.
A leading Saa S company in Toronto is hiring a Senior Machine Learning Engineer to lead the design and development of LLM-powered search and retrieval systems.
The role encompasses architecting retrieval pipelines, mentoring team members, and driving experimentation for enhanced retrieval effectiveness.
Candidates should have over 5 years of experience in ML systems with strong Python skills.
This position offers a hybrid working model and competitive salary. #J-18808-Ljbffr
Senior ML Engineer: LLM Retrieval & Agentic Workflows in Toronto employer: Klue
At Klue, we foster a dynamic and innovative work environment where the Director of Demand Generation can truly make an impact. With a strong emphasis on ownership, collaboration, and personal growth, employees enjoy comprehensive benefits, flexible work arrangements, and the opportunity to engage in meaningful projects that shape the future of competitive intelligence. Our vibrant office culture encourages creativity and connection, making Klue an exceptional place for those looking to thrive in their careers while contributing to a mission-driven company.
