or apply directly on Apptronik's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 13 days Apptronik's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 21% of Apptronik's roles list one
- Ghost-job risk at Apptronik
- high 50 stale, 2 reposted of 86 open
- Hiring momentum
- 120 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Apptronik's own greenhouse board since 2026-08-03. Full hiring picture for Apptronik.
About this role
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.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Apptronik as an employer.
What you need
- 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.
Worth weighing
- 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.
Summarised from Apptronik's posting. Read the full original.
Listed by Apptronik on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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