Lead the end-to-end development of critical AI subsystems in healthcare, from algorithmic direction through implementation, validation, optimization, and deployment readiness.
Translate business and open-ended requirements into clear technical strategies and execution plans.
Drive agent-assisted development by leveraging agentic AI to accelerate execution while maintaining accountability for technical outcomes.
Critically review AI-generated code and artifacts to ensure technical rigor, quality, and reliability.
Design and implement scalable, high-performance AI/ML and computer vision solutions.
Oversee model evaluation, inference optimization, and deployment for real-world applications.
Collaborate with cross-functional, different geographically located teams to deliver robust AI solutions aligned with business and regulatory requirements.
Identify technical risks early and ensure timely, high-quality delivery of AI subsystems.
Required Qualifications-
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Electrical Engineering, or a related field.
12–17 years of experience in AI/ML, computer vision, deep learning, or AI systems engineering.
Strong foundations in algorithms, system design, software engineering, model evaluation, and optimization.
Advanced programming expertise in Python with hands-on experience in PyTorch or TensorFlow.
Experience with inference optimization and deployment using TensorRT, ONNX, or OpenVINO.
Familiarity with cloud platforms such as AWS or Azure and ML services such as AWS SageMaker or Azure ML.
Preferred Qualifications-
Experience leading agentic AI workflows or teams and reviewing AI-generated code and artifacts.
Experience in the medical/healthcare domain or shipping AI/ML products in regulated environments with validation and risk management requirements.
Skills Required
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Electrical Engineering, or related field
- 12-17 years of experience in AI/ML, computer vision, deep learning, or AI systems engineering
- Advanced programming expertise in Python with hands-on experience in PyTorch or TensorFlow
- Experience with inference optimization and deployment using TensorRT, ONNX, or OpenVINO
- Familiarity with cloud platforms such as AWS or Azure
Stryker Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.
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Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
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Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
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Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.
Stryker Insights
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.
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