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, ML, Electrical Engineering, or 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
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.
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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.
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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.
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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.
