Machine Learning Research Scientist/Engineer

Responsibilities

• Research, develop, and deploy real-time, low-latency surgical AI solutions using state-of-the-art AI technologies.
• Develop and integrate AI Agent and/or deep reinforcement learning (DRL) frameworks for intelligent decision-making, workflow automation, or adaptive optimization in intraoperative video.
• 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 AI clinical solutions.
• Conform to the company's standard procedures of product development.
• Efficiently communicate with project managers and team members on execution.
• Perform other job responsibilities as assigned by management.

Qualifications

• Experience with advanced VLM/SFM/LLM models (e.g., GPT-4o, UniSurg/SurgMotion, SAM) for intraoperative video analysis.
• Experience and skills in working with deep reinforcement learning and/or AI Agent frameworks, including prompt engineering, LangChain/LlamaIndex, 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).
• Minimum of 3 years of experience in AI, ML, DL, or related fields.
• Excellent software engineering skills using C/C++; Python, PyTorch, TensorFlow, and Keras preferred.
• 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 a master's degree with a minimum of 3 years of industry experience.

Desired Qualifications

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

Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.


Equal Opportunity Employer (EEO)
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.


Americans Disabilities Act (ADA)
The physical and mental requirements described in this job description are representative of those that must be met by an employee to successfully perform the essential functions of the position. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. Must be able to perform the essential physical functions of the position, including sitting, standing, walking, stooping, kneeling, and lifting up to 25 pounds, with or without reasonable accommodation.


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