Staff Robotics ML/Data Engineer (Multimodal AI)

Persona AI; Houston (TX); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Performance-based bonus

99% employer covered medical benefits

Early-stage equity

Competitive PTO

Winter break (Dec 24–Jan 2)

Job summary

Persona AI is building humanoid robots for heavy industry, turning multimodal data into training assets. You’ll architect systems that convert raw egocentric video and sensor streams into high-fidelity data for model training.

As Staff, Robotics ML/Data Engineer, you’ll scale data pipelines, validate data integrity, and enable faster learning of dexterous policies across new robots and sensors.

Qualifications

• MS or PhD in CS, data engineering, ML, robotics or related fields.
• Strong Python and PyTorch experience with custom dataloaders.
• Experience with time-series and force-torque data.
• OpenCV/FFmpeg and 3D geometry knowledge.

Responsibilities

• Design cross-modal validation systems aligning video and sensor data.
• Develop data augmentation and curation pipelines for robotics datasets.
• Build end-to-end multimodal data pipelines from raw recordings.
• Coordinate with researchers to improve data quality and usability.

Skills

Python

PyTorch

Multimodal data handling

Time-series analysis

C++

Education

MS or PhD in CS / Data Eng / Robotics

Tools

OpenCV

FFmpeg

Decord

URDF

Job description

Persona AI is building humanoid robots for heavy industry, turning multimodal data into training assets. You’ll architect systems that convert raw egocentric video and sensor streams into high-fidelity data for model training.

As Staff, Robotics ML/Data Engineer, you’ll scale data pipelines, validate data integrity, and enable faster learning of dexterous policies across new robots and sensors.