Senior / Staff AI Research Engineer, Data Infrastructure

<p><strong>Why RoboForce</strong></p> <div data-page-id="SQebduWNJoyXdvxrW44lL7ssgEf" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-JWoMdQeYxodhHvxYF3rlsTdogif">RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.</div> <div class="ace-line ace-line old-record-id-JWoMdQeYxodhHvxYF3rlsTdogif"> </div> <div class="ace-line ace-line old-record-id-PkTRdAygZofYhPxyIG4lYfIvgle">We are looking for a <strong>Senior / Staff AI Research Engineer, Data Infrastructure</strong> to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.</div> <div class="ace-line ace-line old-record-id-PkTRdAygZofYhPxyIG4lYfIvgle"> </div> <div class="ace-line ace-line old-record-id-DqY7dKHlYoWeSyxgmFpleqVTgF8"><strong>Responsibilities</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-JRz4d1r0IoHSxTx588kldmGpgVb" data-list="bullet"> <div>Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale.</div> </li> <li class="ace-line ace-line old-record-id-KoREdwqt0on7oRxDTxqlaPZTgGc" data-list="bullet"> <div>Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning.</div> </li> <li class="ace-line ace-line old-record-id-RtSTdxfk5o5nShxkraZlWHb4gez" data-list="bullet"> <div>Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop.</div> </li> <li class="ace-line ace-line old-record-id-WPwkd0aUEoH5gQxP566l74fSgof" data-list="bullet"> <div>Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team.</div> </li> <li class="ace-line ace-line old-record-id-AfUMdTYNjoDweDx4Hu3lZ3Is