Remote Machine Learning Engineer — Training Optimization

Description:

• Seeking an ML Engineer focused on training optimization to enhance large-scale model training.
• Role involves optimizing training pipelines for speed, stability, and cost while collaborating with researchers.

Requirements:

• Strong experience in training large neural networks (LLMs or similar).
• Hands-on experience with training optimization.
• Solid understanding of backpropagation, optimization algorithms, and training dynamics.
• Experience with distributed systems for ML training.
• Proficiency in PyTorch.
• Comfort working close to hardware (GPUs, memory, networking).
• Ability to transition between research ideas and production-ready code.

Benefits:

• Real ownership at a Series-A stage company, influencing its trajectory.
• Opportunity to work on cutting-edge models and training systems at scale.
• Join a small, highly technical team with fast feedback loops.
• Strong emphasis on engineering quality and research rigor.
• Competitive compensation with meaningful equity.