Principal Robotics Machine Learning Engineer

Location: Austin, TX, United States

Company

hirify.global develops AI-powered humanoid robots, including Apollo, for applications in manufacturing, logistics, healthcare, and the home.

What you will do

• Implement and deploy state-of-the-art machine learning models for open-world object manipulation on physical robotic hardware.
• Design and drive the manipulation learning data engine, including collection strategy, curation, annotation, and synthetic-to-real data mixes.
• Develop the full learning lifecycle from simulation prototypes through model transfer, fine-tuning, and deployment on robots.
• Diagnose performance bottlenecks across classical computer vision, calibration, geometry, sensor fusion, models, and data.
• Improve reliability for customer-facing robotic manipulation and contribute to scalable production software.
• Set technical standards through architecture reviews, code reviews, and mentoring of robotics engineers.

Requirements

• 5+ years shipping machine learning models on robotic systems in production environments.
• 7+ years of relevant robotic manipulation or complex motion-control experience, or 5+ years with a PhD.
• Expertise with CNNs and transformers, plus proficiency in Python, C++, and PyTorch.
• Experience building real-time robotic software stacks, ML data pipelines, data annotation, and synthetic data generation.
• Knowledge of 6D pose estimation, camera calibration and extrinsics, point-cloud processing, and visual servoing.
• Experience calibrating and tuning high-degree-of-freedom robotic manipulators and deploying algorithms to physical hardware.

Nice to have

• Distributed training and MLOps experience.
• Experience with VR or haptic teleoperation and retargeting algorithms.
• Experience with IsaacSim, MuJoCo, or Drake for policy training and validation.
• Experience automating dynamic material-handling tasks with robotic manipulators.

Culture & Benefits

• Direct-hire employment with a startup-paced environment.
• High ownership, fast feedback, and low bureaucracy.
• Work focused on safety, commercialization, and mass production of humanoid robots.
• Physical requirements include prolonged computer work, occasional lifting of up to 15 pounds, and the ability to communicate verbally and visually.