About this role
Level AI is seeking a Principal Machine Learning Engineer to guide ambitious artificial intelligence initiatives from Bengaluru with remote flexibility. This senior individual-contributor position suits an experienced AI professional with a strong background in production machine learning and research.
Role Overview
Level AI builds conversational intelligence platforms for modern contact centers that analyze millions of interactions to provide real-time guidance and automate quality assurance. The Principal Machine Learning Engineer shapes the technical direction for advanced AI projects by leading research in large language models, speech understanding, and retrieval systems, and bridging the gap between cutting-edge research and scaled production.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Level AI operates as a Mountain View-based conversational intelligence enterprise dedicated to transforming contact center operations through advanced technology. The enterprise fosters a workplace culture that equally appreciates deep research capabilities and pragmatic, production-focused execution while operating as an equal opportunity employer.
How to Apply
Interested candidates should visit the official Level AI careers page to submit their application for this role.
Skills and tech stack
Questions candidates ask
What is the primary focus of the Principal Machine Learning Engineer role?
The role focuses on setting the technical direction for advanced AI initiatives, leading research in large language models, speech understanding, and retrieval systems, and moving that research into scalable production.
Where is the position located?
The job is based in Bengaluru with remote work options available.
How much experience is required for this position?
Candidates typically need 7 or more years of experience applying machine learning and artificial intelligence in production settings.
What technical skills and frameworks are emphasized?
Required skills include Python, PyTorch, deep learning, LLMs, NLP, distributed training, and experience with inference pipelines.
How can I apply for this job?
Applicants can apply directly through the official company careers page.
