Machine Learning Team Lead, Convergence

• Strong technical background in ML engineering with 5+ years experience
• Direct experience training VLMs using methods like distillation and fine-tuning
• Experience with large-scale distributed training and inference
• Track record of leading technical teams or projects
• Proficiency in PyTorch and ML infrastructure
• Strong software engineering foundations
• Experience mentoring and developing engineers

Desirable

• We are looking for a technical Team Lead to guide our ML engineering team building Proxy, our generalist agent
• You will lead a small, talented team equipped with substantial GPU resources, focusing on training multi-modal vision VLMs and action models
• As Team Lead, you'll be responsible for both technical leadership and team management, helping establish the foundations of machine learning engineering at Convergence while mentoring and growing your team
• Team Leadership
• Lead and mentor a team of ML engineers and researchers
• Define technical roadmap and priorities for model development
• Foster a culture of experimentation and continuous learning
• Collaborate with engineering teams to integrate models into production
• Guide career development and growth for team members
• Technical Direction
• Oversee implementation and testing of fine-tuning and preference learning techniques like DPO
• Guide development of data collection strategies, including synthetic data pipelines and annotation workflows
• Lead architectural decisions for model training and deployment
• Define best practices for ML workflows and experimentation
• Day-to-Day Activities
• Review and guide experimental design and implementation
• Lead team planning and technical discussions
• Hands-on involvement in critical technical decisions
• Oversee end-to-end experiment ownership by team members
• Guide improvements in:
• Data quality and pipeline efficiency
• Model training and evaluation workflows
• Infrastructure for model inference
• Integration with the broader Proxy system