Persona AI
Persona AI
RoboticsDataPipelineIntern
“Robotics Data Pipeline Intern at Persona AI. Skills: Python, PyTorch, data loading, multimodal datasets, computer vision, time-series data, sensor processing, video processing, pose estimation, imitation learning, VLA architectures, human-to-robot transfer. Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception). Owning post-processing algorithms for force analysis and hidden state infere”
What You'll Achieve.
turn raw, unstructured multimodal data into high-fidelity training assets for our robots; support the infrastructure that feeds our foundation models; ship real code
Industry & Context.
multimodal data challenges
What They're Looking For.
Must Have
Currently pursuing a B. S. , M. S. , or Ph. D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field, Solid Python skills, exposure to PyTorch, particularly around data loading or multimodal datasets, Coursework or project experience with computer vision, time-series data, or sensor processing
Nice to Have
Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus, Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T), Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo), Any project work involving synthetic data generation or tactile/spatial data representations
What You'll Do.
Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU
Owning post-processing algorithms for force analysis and hidden state inference
including contact force estimation
and inverse kinematics gap-filling
Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
Optimizing and testing data augmentation strategies (spatial
sensor noise injection)
Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities
How You'll Work.
Team & Collaboration
work directly alongside our data and robotics engineering teams; Tying together work across our Hardware Teleoperation Team
Applying for this Robotics Data Pipeline Intern role?
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