{"schemaVersion":"jobsearcher.job.v1","id":"91f071cb38be33632dc6da3c","url":"https://jobsearcher.com/jobs/91f071cb38be33632dc6da3c","canonicalUrl":"https://jobsearcher.com/jobs/91f071cb38be33632dc6da3c","title":"Machine Learning Research Scientist/Engineer","description":"ML Research Scientist / ML Engineer – Surgical Applications\nJob Description:\nThere are multiple ML Research Scientist / ML Engineer – Surgical Applications positions availableat EDDA Technology, Princeton, NJ. Responsibilities include:\nUse state-of-the-art AI technologies to research, develop and deploy real-time, low-latency surgical AI solutions;\nDevelop and integrate AI Agent and/or deep reinforcement learning (DRL) based frameworks for intelligent decision-making, workflow automation, or adaptive optimization in intraoperative video;\nActively stay current with the latest developments in AI research and emerging technologies;\nUnderstand clinical needs to solve real-world problems and drive the design, development, and validation of new methods of AI clinical solutions.\nConforming to the Company’s standard/procedure of product development;\nEfficiently communicate with project managers and team members on the execution;\nOther job responsibilities as assigned by the management.\nCandidates shall meet part of the below qualifications:\nExperience with advanced VLM/SFM/LLM models (e.g., GPT-4o, UniSurg/SurgMotion, SAM) for intraoperative video analysis;\nExperience and skills in working with deep reinforcement learning (deep RL) and/or AI Agent frameworks, including prompt engineering, LangChain/LlamaIndex or RAG;\nExperience with NVIDIA stacks and hardware deployment is a plus;\nStrong foundational knowledge in geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs);\n3+ years of experience in AI, ML, DL or related fields;\nExcellent software engineering skills in using C/C++; Other software skills preferred include Python, Pytorch, Tensor Flow, and Keras;\nStrong problem-solving skills with the ability to rapidly implement, verify, and iterate on solutions;\nCollaborative team player who is highly self-motivated, with a proven ability to learn quickly and thrive in dynamic, high-impact environments.\nClear communication skills in English;\nPhD in AI/ML/CS or related field or master’s degree with minimum 3 years of industry experience.\nDesired qualifications:\nStrong algorithm development skills with in-depth knowledge on medical image analysis/segmentation and image registration;\nExperience with TensorRT and/or 3D visualization programming in Linux;\nKnowledge in human anatomy and interpretation of medical images;\nHands-on experience and knowledge in DICOM a plus;\nExperience working with medical imaging modalities (Endoscopic video, Ultrasound, CT) or similar sensor data\nCompany Introduction:\nExcellent opportunity with a dynamic, growing medical technology solution company.\nEDDA 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. IQQA® is a registered trademark of EDDA Technology. (www.eddatech.com)\nCompensation/ Benefits\nSalary Range: $135,000 - $200,000; compensation is based on experience, education, and relevant skills.\nEDDA 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.\nSend applications to: hiring@edda-tech.com\nJob Type: Full-time\nPay: $135,000.00 - $200,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible spending account\nHealth insurance\nPaid time off\nReferral program\nVision insurance\nApplication Question(s):\nWill you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?\nEducation:\nDoctorate (Required)\nExperience:\nDeep Reinforcement Learning: 1 year (Required)\nAI: 3 years (Required)\nAgentic AI Development: 1 year (Required)\nVLM: 3 years (Required)\nSurgical Foundation Models: 3 years (Required)\nNVIDIA Stacks: 1 year (Preferred)\nLLM: 3 years (Required)\nAbility to Relocate:\nPrinceton, NJ 08540: Relocate with an employer provided relocation package (Preferred)\nWork Location: In person","company":"Edda Technology","rawCompany":"edda technology","city":"Edgewater","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-07-15T15:42:42.237Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"29-1249.00","title":"Surgeons, All Other","slug":"surgeons-all-other"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"},{"code":"339113","title":"Surgical Appliance and Supplies Manufacturing","slug":"surgical-appliance-and-supplies-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Research Scientist/Engineer","description":"ML Research Scientist / ML Engineer – Surgical Applications\nJob Description:\nThere are multiple ML Research Scientist / ML Engineer – Surgical Applications positions availableat EDDA Technology, Princeton, NJ. Responsibilities include:\nUse state-of-the-art AI technologies to research, develop and deploy real-time, low-latency surgical AI solutions;\nDevelop and integrate AI Agent and/or deep reinforcement learning (DRL) based frameworks for intelligent decision-making, workflow automation, or adaptive optimization in intraoperative video;\nActively stay current with the latest developments in AI research and emerging technologies;\nUnderstand clinical needs to solve real-world problems and drive the design, development, and validation of new methods of AI clinical solutions.\nConforming to the Company’s standard/procedure of product development;\nEfficiently communicate with project managers and team members on the execution;\nOther job responsibilities as assigned by the management.\nCandidates shall meet part of the below qualifications:\nExperience with advanced VLM/SFM/LLM models (e.g., GPT-4o, UniSurg/SurgMotion, SAM) for intraoperative video analysis;\nExperience and skills in working with deep reinforcement learning (deep RL) and/or AI Agent frameworks, including prompt engineering, LangChain/LlamaIndex or RAG;\nExperience with NVIDIA stacks and hardware deployment is a plus;\nStrong foundational knowledge in geometric computer vision (camera calibration, SLAM, registration, multi-view geometry) and deep learning (classification, tracking, mapping, transformers/CNNs);\n3+ years of experience in AI, ML, DL or related fields;\nExcellent software engineering skills in using C/C++; Other software skills preferred include Python, Pytorch, Tensor Flow, and Keras;\nStrong problem-solving skills with the ability to rapidly implement, verify, and iterate on solutions;\nCollaborative team player who is highly self-motivated, with a proven ability to learn quickly and thrive in dynamic, high-impact environments.\nClear communication skills in English;\nPhD in AI/ML/CS or related field or master’s degree with minimum 3 years of industry experience.\nDesired qualifications:\nStrong algorithm development skills with in-depth knowledge on medical image analysis/segmentation and image registration;\nExperience with TensorRT and/or 3D visualization programming in Linux;\nKnowledge in human anatomy and interpretation of medical images;\nHands-on experience and knowledge in DICOM a plus;\nExperience working with medical imaging modalities (Endoscopic video, Ultrasound, CT) or similar sensor data\nCompany Introduction:\nExcellent opportunity with a dynamic, growing medical technology solution company.\nEDDA 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. IQQA® is a registered trademark of EDDA Technology. (www.eddatech.com)\nCompensation/ Benefits\nSalary Range: $135,000 - $200,000; compensation is based on experience, education, and relevant skills.\nEDDA 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.\nSend applications to: hiring@edda-tech.com\nJob Type: Full-time\nPay: $135,000.00 - $200,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible spending account\nHealth insurance\nPaid time off\nReferral program\nVision insurance\nApplication Question(s):\nWill you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?\nEducation:\nDoctorate (Required)\nExperience:\nDeep Reinforcement Learning: 1 year (Required)\nAI: 3 years (Required)\nAgentic AI Development: 1 year (Required)\nVLM: 3 years (Required)\nSurgical Foundation Models: 3 years (Required)\nNVIDIA Stacks: 1 year (Preferred)\nLLM: 3 years (Required)\nAbility to Relocate:\nPrinceton, NJ 08540: Relocate with an employer provided relocation package (Preferred)\nWork Location: In person","datePosted":"2026-07-15T15:42:42.237Z","dateModified":"2026-07-15T15:42:42.237Z","hiringOrganization":{"@type":"Organization","name":"Edda Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Edgewater","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"91f071cb38be33632dc6da3c"},"url":"https://jobsearcher.com/jobs/91f071cb38be33632dc6da3c"}}