Manager, Multi-Modal Language Action Models

Responsibilities

• Lead and manage a team of Machine Learning Engineers specializing in MLLMs for autonomy applications.
• Oversee the full lifecycle of MLLM development, focusing on post-training methodologies (e.g., fine-tuning, RLHF, context engineering) to optimize for autonomy tasks.
• Drive deployment of MLLM solutions to internal customers, solving offline autonomy problems.
• Identify dependencies with other teams (e.g., Perception, Prediction, Planning, Validation) and collaborate with peer managers.
• Create development opportunities, coach, and mentor team members; estimate staffing and assign projects.
• Establish team goals, execute operations, improve processes, and solve problems through analysis.
• Manage special projects, present information, and influence senior management on strategic issues.

Qualifications

• 5+ years professional experience in Machine Learning or Deep Learning, focusing on large-scale model applications.
• 3+ years leading AI/ML engineering or research teams.
• Direct experience leading teams training Multi-Modal Large Language Models (MLLMs), with expertise in post-training techniques (e.g., instruction tuning, alignment, domain adaptation).
• Proven track record deploying ML/MLLM models to production/internal customers for complex real-world problems, ideally in autonomy/robotics.
• Strong organizational skills for managing schedules, staffing, and priorities.
• Passion for mentoring high-performing team members.