It's Time to Join Stryker!
Who We Want
At Stryker Endoscopy, our Computer Vision team develops advanced image analysis technologies that support clinical decision-making, improve visualization, reduce surgeon workload, and ultimately improve patient outcomes. We are building next-generation AI and computer vision capabilities that directly impact patient care and help shape the future of medical technology.
We are seeking a Staff Computer Vision Engineer to provide technical guidance and contribute to the design and development of advanced computer vision and machine learning technologies. In this role, you will contribute to technical direction, help design scalable AI-enabled systems, and apply modern AI/ML techniques to impactful products and platforms.
This is an opportunity to apply your expertise to meaningful technology that directly impacts surgeons and patients worldwide.
What You Will Do
- Design, develop, train, and integrate advanced computer vision and machine learning solutions.
- Train, evaluate, and iterate computer vision models using real-world image and video data.
- Create detailed designs and implement software systems, components, and algorithms.
- Design and execute technical experiments and proof-of-concept demonstrations.
- Provide technical guidance to colleagues and contribute to architecture and design decisions.
- Contribute to the design of scalable AI-enabled systems and inform technical tradeoff discussions.
- Translate customer and business needs into technical solutions and product requirements.
- Evaluate and integrate emerging technologies, frameworks, and tools to accelerate innovation.
- Participate in design reviews, code reviews, and the application of engineering best practices.
- Partner with R&D, Product, Clinical, Quality, Regulatory, and cross-functional stakeholders to deliver impactful solutions.
- Influence technical decisions within assigned projects and partner with senior technical leaders on broader initiatives.
- Contribute to innovation through technical contributions, invention disclosures, and potential patent activity.
- Collaborate with global engineering teams across North America and India.
What You Need
- Bachelor’s degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline
- 4+ years of related work experience.
Preferred Qualifications:
- Experience developing and deploying computer vision and/or AI/ML solutions in real-world environments.
- Experience training, evaluating, and improving computer vision or machine learning models.
- Experience developing software solutions for complex technical environments.
- Experience applying machine learning to image or video analysis applications.
- Experience with frameworks such as OpenCV, PyTorch, TensorFlow, or similar technologies.
- Experience with Python and/or C++, with CUDA as a plus.
- Excellent communication and collaboration skills with the ability to influence across technical and cross-functional teams.
Desired Qualifications:
- Experience with medical imaging.
- Experience with cloud AI/ML environments, model training pipelines, or MLOps workflows.
- Experience working with large-scale datasets and model evaluation strategies.
- Experience in regulated industries such as healthcare, medical devices, aerospace, robotics, automotive, or other safety-critical environments.
- Experience supporting intellectual property development through patents or invention disclosures.
- Advanced degree in Computer Science, Computer Vision, Artificial Intelligence, or related field.
- $105,300 - $140,450 CAD Annual
Travel Percentage: 10%
Skills Required
- Bachelor's degree in Software Engineering, Computer Science, Artificial Intelligence, or related discipline
- 4+ years of related work experience
- Experience developing and deploying computer vision and/or AI/ML solutions in real-world environments
- Experience training, evaluating, and improving computer vision or machine learning models
- Experience applying machine learning to image or video analysis applications
- Experience with frameworks such as OpenCV, PyTorch, TensorFlow, or similar technologies
- Experience with Python and/or C++; CUDA is a plus
- Experience developing software solutions for complex technical environments
- Excellent communication and collaboration skills with ability to influence cross-functional teams
- Experience with medical imaging
- Experience with cloud AI/ML environments, model training pipelines, or MLOps workflows
- Experience working with large-scale datasets and model evaluation strategies
- Experience in regulated industries (healthcare, medical devices, aerospace, robotics, automotive)
- Experience supporting intellectual property development through patents or invention disclosures
- Advanced degree in Computer Science, Computer Vision, Artificial Intelligence, or related field
Inari Medical Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Inari Medical and has not been reviewed or approved by Inari Medical.
-
Fair & Transparent Compensation — Pay is considered competitive for many roles, with employees described as 'extremely happy' with total compensation including pay, stock, equity, and benefits. Feedback suggests above‑average salary levels across departments contribute to strong pay sentiment.
-
Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, with 100% employer‑paid premiums for employees cited in multiple descriptions. Additional options like critical illness, accident, hospital indemnity, and wellness programs reinforce the healthcare offering.
-
Leave & Time Off Breadth — Time off is characterized by unlimited PTO, cited as a top benefit by employees. Paid holidays and flexible hours are also referenced, expanding the range of time‑off options.
Inari Medical Insights
What We Do
Inari Medical, Inc. is a commercial-stage medical device company focused on developing products to treat and transform the lives of patients suffering from venous diseases.
