Senior Machine Learning Engineer, Tech Lead, Robot Learning, Loco-Manipulation

The Robot Age; Columbus, Northern (OH, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Path Robotics is seeking a senior machine learning engineer and tech lead to shape the loco-manipulation robot-learning stack. The role involves writing code, setting direction, making architectural calls, mentoring engineers, and defining how the team operates.

The position supports Columbus or remote work as part of a new research stack for precision heavy-manufacturing tasks. You will drive ML system architecture, mentor peers, and align research with reliable industrial capabilities.

Qualifications

• Senior ML engineering experience in robotics, manipulation, or embodied AI.
• Ability to lead technical architecture while still writing production-quality code.
• Experience with learned policies, reinforcement learning, or robot-control systems.
• Judgment about turning research ideas into reliable industrial capability.

Responsibilities

• Set technical direction for ML systems that drive whole-body loco-manipulation.
• Build architecture for visual reasoning, learned action policies, and RL fine-tuning.
• Mentor engineers while staying hands-on in implementation.
• Evaluate models against real industrial robot behavior and customer data.

Skills

Senior ML engineering

Robotics

Leadership

Production-grade coding

Job description

What the role actually is

Path Robotics is hiring a senior machine learning engineer and tech lead for its loco-manipulation robot-learning work. The person will write code, set technical direction, make architectural calls, mentor engineers, and shape the team's working model.

The role can be based in Columbus or remote, and it sits at the beginning of a new research stack for precision heavy-manufacturing tasks.

What you would work on

• Set technical direction for ML systems that drive whole-body loco-manipulation
• Build architecture for visual reasoning, learned action policies, and RL fine-tuning
• Mentor engineers while staying hands-on in implementation
• Evaluate models against real industrial robot behavior and customer data

What they are asking for

• Senior ML engineering experience in robotics, manipulation, or embodied AI
• Ability to lead technical architecture while still writing production-quality code
• Experience with learned policies, reinforcement learning, or robot-control systems
• Judgment about turning research ideas into reliable industrial capability

Why this one is worth a look

Founding tech-lead roles can be high-leverage when the team is pointed at a real bottleneck. Here the bottleneck is getting learned robot behavior to perform precision physical work, not just benchmark well.