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Principal Robotics Machine Learning Engineer

Apptronik
Location
Austin, TX
Posted
17 days ago
Department
Software Engineering
What they actually want (must-haves)
  • 5+ years shipping machine learning models on robotic systems in production environments
  • Expertise in models including CNNs, transformers, and VLAs
  • Proficiency in Python, C++, and PyTorch, with experience building real-time robotic software stacks
  • Experience with data collection, annotation, and synthetic data generation for ML
  • Familiarity with 6D pose estimation, camera calibration/extrinsics, point cloud processing and visual-servoing
  • Experience with the initial calibration and tuning of high-DOF robotic manipulators
Nice to have
  • Familiarity with distributed training and MLOps principles
  • Experience with VR/haptic interfaces and retargeting algorithms for human-in-the-loop control
  • Experience with physics engines such as IsaacSim, MuJoCo, or Drake for policy training and validation
  • Experience using manipulators to automate dynamic real-world material handling tasks.
What the job really is

As a Principal Robotics Machine Learning Engineer at Apptronik, you will be responsible for the end-to-end lifecycle of learned manipulation for the humanoid robot Apollo. Your role will involve implementing and deploying advanced machine learning models for object manipulation, driving data collection strategies, and addressing performance bottlenecks. You will also mentor team members and ensure high standards of technical rigor within the organization.

Things to weigh
  • No salary listed
  • Role involves high ownership and fast-paced startup environment which may require adaptability
  • Focus on mentoring suggests a collaborative team culture but may also imply a need for strong leadership skills.
Job score3/5
Benefits1/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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