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Surgery Ai Jobs (NOW HIRING)

Codvo.ai

Preferred Skills: - Experience with surgical AI applications and edge device integration. - Knowledge of risk management processes (ISO 14971, 510). - Familiarity with cloud platforms (AWS, Azure ...

Mayo Clinic

Research Fellow in Surgical AI

Rochester, MN

$67K - $78K/yr

... Surgery at Mayo Clinic in the field of Machine Learning and Artificial Intelligence (AI). The position is for a 2-year paid fellowship (minimum 1 year commitment) with the possibility of extension ...

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Surgery Ai information

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How much do surgery ai jobs pay per week?

As of Jun 25, 2026, the average weekly pay for surgery ai in the United States is $1,882.31, according to ZipRecruiter salary data. Most workers in this role earn between $1,403.85 and $2,307.69 per week, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve developing complex algorithms, managing AI projects, and may require expertise in programming, data science, and relevant certifications.

What jobs pay $2000 a day?

In the medical field, highly specialized surgeons, such as neurosurgeons or cardiovascular surgeons, can earn around $2,000 or more per day, especially when performing complex procedures or working in private practices. These roles typically require advanced training, board certification, and extensive experience. Other high-paying jobs that can reach this level include certain executive roles, specialized consultants, and some legal or financial professionals, but these are less common in the context of surgery AI specifically.

What are the key skills and qualifications needed to thrive as a Surgical AI Specialist, and why are they important?

To thrive as a Surgical AI Specialist, you need a strong background in computer science, machine learning, and medical imaging, often supported by advanced degrees and experience in healthcare technology. Familiarity with AI programming languages (such as Python), neural network frameworks, and regulatory compliance certifications like HIPAA are typically required. Exceptional problem-solving, communication, and collaboration skills help you work effectively with surgeons and interdisciplinary teams. These competencies are crucial to ensure the safe development, integration, and application of AI solutions that enhance surgical outcomes.

How do professionals in Surgery AI collaborate with clinical teams to ensure successful integration of AI solutions in surgical settings?

Professionals in Surgery AI work closely with surgeons, nurses, and IT specialists to understand clinical workflows and identify areas where AI can add value. This often involves attending surgical procedures, gathering feedback from end users, and iteratively refining algorithms to fit real-world needs. Effective communication and interdisciplinary teamwork are essential, as Surgery AI specialists must translate complex technical concepts for clinical staff and ensure that AI solutions are safe, reliable, and user-friendly. Regular meetings, hands-on demonstrations, and training sessions are common practices to facilitate smooth adoption and integration.

What is a Surgery AI specialist?

A Surgery AI specialist is a professional who develops, implements, or manages artificial intelligence technologies specifically for use in surgical procedures and related healthcare workflows. These specialists may work on AI systems that assist with surgical planning, robotic surgery, real-time decision support, and post-operative analysis. Their role bridges the gap between medical expertise and advanced technology, aiming to improve surgical outcomes, precision, and efficiency. Typically, they collaborate with surgeons, engineers, and data scientists to ensure AI tools are safe, effective, and compliant with healthcare regulations.

Which 3 jobs will survive AI?

Surgery AI is a specialized field that combines medical expertise with artificial intelligence to assist in surgical procedures. Jobs that require complex human judgment, hands-on skills, and emotional intelligence—such as surgeons, healthcare providers, and specialized technical roles—are more likely to persist despite AI advancements. These roles often involve critical decision-making and direct patient interaction that AI cannot fully replicate.

Will AI take over surgery jobs?

Surgery AI refers to the use of artificial intelligence systems to assist or enhance surgical procedures. While AI can improve precision, reduce errors, and assist surgeons with planning and decision-making, it is unlikely to fully replace surgeons, as human judgment, experience, and adaptability remain essential in complex or unexpected situations.

What is the difference between Surgery Ai vs Surgical Technologist?

AspectSurgery AiSurgical Technologist
Required CredentialsNone (AI software)Post-secondary education, certification
Work EnvironmentHospitals, clinics (software deployment)Operating rooms, surgical settings
Industry UsageMedical technology, AI solutionsHealthcare, surgical support
Primary RoleAssist surgeons via AI analysis and decision supportPrepare operating rooms, assist during surgeries

Surgery Ai is an AI-based software tool used to support surgical procedures through data analysis and decision-making assistance. In contrast, a Surgical Technologist is a healthcare professional actively involved in preparing and assisting during surgeries. While Surgery Ai operates within the digital and software domain, Surgical Technologists work directly in the operating room environment, making their roles complementary but distinct.

Infographic showing various Surgery Ai job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $97,880 per year, or $47.1 per hour.

Principal AI Lead - Surgical AI

Johnson & Johnson

Santa Clara, CA • On-site

Full-time

PTO

Posted 29 days ago

Johnson & Johnson rating

8.1

Company rating: 8.1 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

32nd of 72 rated pharmaceutical

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Machine Learning

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

Overview

Johnson & Johnson MedTech is focused on shaping the future of digital surgery and expanding its robotics and digital solutions offerings across the entire portfolio, with multi-specialty, end-to-end solutions in endoluminal intervention, general surgery and a comprehensive digital portfolio. This includes the Polyphonic platform, a first-of-its-kind digital platform that advances patient empowerment, surgical performance, operating room (OR) collaboration and operational efficiency by synchronizing devices, data and AI driven insights in one place to simplify access, build confidence and unify a non-linear care experience.

We are recruiting for a Principal AI Lead within the Polyphonic Applied AI and ML team located in Santa Clara, CA. J&J is building the next generation intelligence infrastructure and platforms to capture, extract, and apply intelligence from the OR and surgical workflows and this role will play a key role in shaping and defining core workflows for developing and deploying surgical AI models and agents for the clinical consumption.

This is an opportunity to work with a multi-functional high-value team of product managers, applied scientists, software engineers, and clinical experts who will push the boundaries for surgical AI and make it widely accessible. The candidate will own and drive technical direction across the full ML lifecycle-from research and model development to scalable deployment, bringing both deep technical expertise and strong product acuity to build the right platform and user experiences for data scientists and developers, while mentoring engineers and partnering closely with product, engineering, and clinical domain experts.

What You Will Do

AI Development Standardization

  • Conceptualize structured pipelines (ingestion to production), planning flows, agentic workflows

  • Build capability primitives such as pre-built models, feature stores, AI-assisted annotations, proactive insights

  • Develop modular and reusable intelligence components

Applied AI/ML Features & Model Strategy

  • Select appropriate model families based on capability and cost constraints

  • Lead the design and deployment of CNN-based, transformer-based and LLM/VLM-based models

  • Apply prompting, constraints, and reasoning structures to reduce hallucination

Model Integration & Inference Optimization

  • Integrate sophisticated models with product functionality and ensure output reliability, consistency, safety, and user-centric alignment

  • Develop logic for hybrid model usage

  • Collaborate with engineering to optimize latency, cost, and scalability

Product Acuity

  • Bring strong product judgement to the development of the MLOps platform, balancing researcher/data scientist workflows with engineering, security, and compliance constraints.

  • Partner with multi-functional collaborators to define user needs, success metrics, and a prioritized roadmap for platform capabilities.

  • Make pragmatic tradeoffs across build vs. buy, usability vs. flexibility, and time-to-value vs. long-term scalability for ML platform components.

Required Qualifications

  • MS or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related field.

  • 10+ years of experience in machine learning engineering or applied AI, with significant ownership of production systems (or equivalent experience).

  • Deep expertise in computer vision-based deep learning.

  • Demonstrated experience developing and deploying production models on cloud and edge.

  • Strong product competence for ML platforms/MLOps, with the ability to translate multi-functional needs into a clear roadmap and excellent developer/researcher experiences.

  • Advanced proficiency in PyTorch and the modern ML ecosystem.

  • Strong software engineering skills in Python and experience designing scalable ML systems.

  • Proven track record to lead sophisticated technical initiatives and influence technical direction across teams.

  • Excellent communication and teamwork skills.

Preferred Qualifications

  • Experience building or working on ML or developer platforms for data scientists and researchers, including driving adoption through documentation, templates, and self-serve workflows.

  • Familiarity with MLFlow, Kubeflow, or similar MLOps platforms.

  • Experience developing AI systems in regulated environments (e.g., SaMD), such as surgical, medical imaging, or healthcare-related ML/AI applications, with attention to traceability, validation, and auditability.

  • Experience with foundation models, multimodal AI, or vision-language architectures.

  • Prior experience mentoring or leading ML engineering teams.

  • Experience working with large-scale datasets or distributed training systems.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR1

#JRDDS

#JNJDataScience

Required Skills:

Preferred Skills:

Artificial Intelligence (AI), Cognitive Computing, Curious Mindset, Data Governance, Data Structures, Emerging Technologies, Human-Computer Interaction (HCI), Human-Computer Relationships, Industry Analysis, Machine Learning (ML), Process Improvements, Program Management, Quality Assurance (QA), Research and Development, SAP Product Lifecycle Management, Scripting Languages, Tactical Planning, Technical Credibility

The anticipated base pay range for this position is :

$157,000.00 - $271,400.00

Additional Description for Pay Transparency:

This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the
following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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