10 hours ago
Base Salary
$167k - $283k/yr
Responsibilities
- Develop temporal models for activity and workflow understanding, including event/state recognition and fine-grained temporal action segmentation.
- Benchmark internal models against state-of-the-art approaches and recommend perception architectures.
- Define perception inputs and outputs and demonstrate offline feasibility using recorded data.
- Build continuous-improvement workflows involving discrepancy flagging, active learning, human-in-the-loop relabeling, and evaluation tooling.
- Partner with annotation and data teams on label taxonomies, quality control, and AI/ML data pipelines.
- Establish the transition from offline recorded-data evaluation to real-time integration.
- Collaborate with AI/ML researchers, robotics specialists, data engineers, software engineers, and clinical or domain experts.
Requirements
- MS or PhD in computer science, electrical engineering, robotics, or a related field, plus 5+ years of applied computer-vision research experience.
- Strong knowledge of computer vision and deep learning, including CNNs, vision transformers, segmentation, detection, tracking, and representation or self-supervised learning.
- Demonstrated video-understanding experience with temporal action segmentation, action or phase recognition, and video segmentation.
- Hands-on experience with video architectures and self-supervised video pretraining.
- Experience with large, messy, real-world video datasets at scale.
- Strong Python and C++ software and experimentation skills, with proficiency in PyTorch, TensorFlow, or JAX.
- Ability to run reproducible research loops covering data curation, augmentation, loss design, metrics, and error analysis.
- Strong foundations in linear algebra, probability, and optimization.
- Preferred: healthcare, medical-device, surgical-robotics, or regulated-domain experience.
- Preferred: sim-to-real workflows, robotics simulators, structured labeling frameworks, multimodal fusion, annotation and active-learning pipelines, real-time or edge optimization, interaction modeling, and relevant peer-reviewed publications.
Benefits
- Fully onsite role with day shift.
- Employee position.
- Market-competitive compensation package including incentives, benefits, and equity.
- Certain roles may require proof of vaccination against specified diseases, including COVID-19.
- Reasonable workplace accommodations are available for qualified individuals with disabilities.
Categories
AI ResearchML Engineering
About Intuitive
Intuitive designs and manufactures robotic-assisted systems for minimally invasive procedures used by hospitals and surgeons, including the da Vinci surgical system and the Ion endoluminal platform for lung biopsy. Its business model combines capital equipment sales with recurring revenue from instruments, accessories, software, and service/training contracts. Founded in 1995 and headquartered in Sunnyvale, California, Intuitive is publicly traded on NASDAQ (ISRG) and serves healthcare providers worldwide.