Job opportunity
Technical Staff Member in AI Development
E+E Consulting
Enhance AI capabilities at Onix as a Member of Technical Staff with a focus on small language models. Engage in innovative projects combining efficient training and high privacy standards.
As part of our small, expert-driven team in Old Montreal, your mission is to co-own the training stack used for developing SLMs, making significant contributions to Expert Fidelity. You will implement state-of-the-art techniques to ensure training aligns with privacy specifications, while actively working on production deployment. Dive into a research-focused environment dedicated to amplifying human intelligence.
Key Responsibilities:
• Drive the development of the SLM training stack
• Push boundaries of privacy architecture and fidelity
• Deliver models to production with direct expert feedback
• Engage in expert calls for model precision and persona
• Use advanced frameworks for rapid prototyping
Requirements:
• Significant experience in ML training and evaluation
• Proven skills in distillation and on-device inference
• Background in federated learning and retrieval methods
• Ability to balance engineering and research expertise
• Clear articulation of technical narratives
At Onix, your work will redefine the intersection of AI and expert knowledge.
#J-18808-Ljbffr
Apply on source site As part of our small, expert-driven team in Old Montreal, your mission is to co-own the training stack used for developing SLMs, making significant contributions to Expert Fidelity. You will implement state-of-the-art techniques to ensure training aligns with privacy specifications, while actively working on production deployment. Dive into a research-focused environment dedicated to amplifying human intelligence.
Key Responsibilities:
• Drive the development of the SLM training stack
• Push boundaries of privacy architecture and fidelity
• Deliver models to production with direct expert feedback
• Engage in expert calls for model precision and persona
• Use advanced frameworks for rapid prototyping
Requirements:
• Significant experience in ML training and evaluation
• Proven skills in distillation and on-device inference
• Background in federated learning and retrieval methods
• Ability to balance engineering and research expertise
• Clear articulation of technical narratives
At Onix, your work will redefine the intersection of AI and expert knowledge.
#J-18808-Ljbffr