ML Research Scientist​/ML Engineer – Surgical

EDDA Technology does work that matters with an outstanding team who believes in making a difference for our medical facilities, clinicians and their patients.

There are multiple ML Research Scientist / ML Engineer – Surgical Applications positions available at EDDA Technology, Princeton, NJ.

Responsibilities include:

• Use state-of-the-art AI technologies to research, develop and deploy real-time, low-latency surgical AI solutions.
• Develop and integrate AI Agent and/or deep reinforcement learning (DRL) based frameworks for intelligent decision-making, workflow automation, or adaptive optimization in intraoperative video.
• Actively stay current with the latest developments in AI research and emerging technologies.
• Understand clinical needs to solve real-world problems and drive the design, development, and validation of new methods of AI clinical solutions.
• Conform to the company’s standard/procedure of product development.
• Efficiently communicate with project managers and team members on the execution.
• Other job responsibilities as assigned by the management.

Candidates shall meet part of the below qualifications
:

• Experience with advanced VLM/SFM/LLM models (e.g., GPT-4o, Uni Surg/Surg Motion, SAM) for intraoperative video analysis.
• Experience and skills in working with deep reinforcement learning (deep RL) and/or AI Agent frameworks, including prompt engineering, Lang Chain/Llama Index or RAG.
• Experience with NVIDIA stacks and hardware deployment is a plus.
• Strong foundational knowledge in geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs).
• 3+ years of experience in AI, ML, DL or related fields.
• Excellent software engineering skills in using C/C++; other software skills preferred include Python, PyTorch, Tensor Flow, and Keras.
• Strong problem‑solving skills with the ability to rapidly implement, verify, and iterate on solutions.
• Collaborative team player who is highly self‑motivated, with a proven ability to learn quickly and thrive in dynamic, high‑impact environments.
• Clear communication skills in English.
• PhD in AI/ML/CS or related field or master’s degree with minimum 3 years of industry experience.

Desired qualifications:

• Strong algorithm development skills with in-depth knowledge on medical image analysis/segmentation and image registration.
• Experience with Tensor
  
  RT and/or 3D visualization programming in Linux.
• Knowledge in human anatomy and interpretation of medical images.
• Hands‑on experience and knowledge in DICOM a plus.
• Experience working with medical imaging modalities (Endoscopic video, Ultrasound, CT) or similar sensor data.

Excellent opportunity with a dynamic, growing medical technology solution company.

EDDA Technology is an innovative leader in the rapidly growing field of intelligent robotic solutions for precision surgery. Pioneering a “fully quantitative, interactive” approach to intelligent imaging analytics and robotic integration, the company has built a proprietary technology platform to facilitate pre‑surgical planning and simulation, intra‑operative navigation, post‑operative evaluation. With its end‑to‑end enabling platform, EDDA’s goal is to form a comprehensive ecosystem of clinical practice, connection, and education to support physicians and patient management in all tiers of hospitals.

Salary range: $135,000 - $200,000; compensation is based on experience, education, and relevant skills.

EDDA offers a competitive salary, performance‑based incentive stock options, and excellent benefits including medical and dental insurance, vision care, 401k plan, section 125 health and dependent care (flexible spending) accounts, and paid vacations. The company sponsors the H1‑B application.