Senior AI/ML Research Engineer

📋 Description

• Develop temporal models for activity and workflow understanding: event/state recognition and
• Benchmark in-house models against the state of the art and recommend the target perception
• Define the perception input/output specification and demonstrate offline feasibility on recorded
• Stand up a continuous-improvement loop (discrepancy flagging, active learning, human-in-the-loop
• Partner with annotation and data teams to shape label taxonomies, QC, and the data pipeline that
• Establish the path from offline evaluation on recorded data to real-time integration, including the

🎯 Requirements

• MS or PhD in CS, EE, Robotics, or related field with 5+ years applied computer-vision research.
• Strong fundamentals in modern CV and deep learning: CNNs, vision transformers, segmentation
• Proven experience in video understanding: temporal action segmentation, action/phase recognition
• Hands-on experience with video transformers and self-supervised video pretraining.
• Exposure to vision-action (VA) / vision-language-action (VLA) models and world-model /
• Experience with large, messy, real-world video datasets at scale.

🎁 Benefits

• Market-competitive compensation packages including base pay, incentives, benefits, and equity.
• Target compensation ranges (e.g., minima 167,300-196,800 USD; maxima 240,700-283,200 USD).
• Equal Opportunity Employer; accommodations available.