Machine Learning Engineer

About the Opportunity

We are collaborating with a financially robust AI company that is developing an advanced AI Assistant. Multiple foundational machine learning leadership roles are open, including Principal Machine Learning Engineer, Technical Lead for Machine Learning, and VP of Research in Machine Learning. The team is engaged in creating AI technology from scratch, tackling complex issues in large-scale model training, inference, reasoning, memory handling, evaluation techniques, GPU optimization, and AI agent development.

Key Responsibilities and Expectations

Selected candidates will actively contribute to building production-level AI systems, ensuring these solutions are scalable, reliable, and efficient. This includes leadership in designing and implementing cutting-edge AI models and refining processes from research phases through to deployment in dynamic work environments.

Candidate Profile and Requirements

• Experience range varies by role: 6–10+ years for Principal, 8–12+ years for Technical Lead, and 12–15+ years for VP of Research in Machine Learning or AI domains.
• Practical expertise with deploying production-grade Large Language Models (LLMs) or Generative AI systems is essential.
• Proficiency in PyTorch or JAX frameworks, knowledge of distributed training approaches, and skills in model fine-tuning techniques such as LoRA, QLoRA, DPO, SFT, and RLHF.
• Strong foundation in software engineering, particularly in constructing stable, production-oriented machine learning platforms.
• Documented success in transitioning AI products from the research stage to live production settings within rapid, high-responsibility contexts.

Additional Information

If interested in this opportunity or aware of professionals who could meet these criteria, confidential discussions are encouraged to explore potential fit.