Sr. Staff MLOps Engineer (REMOTE)

Stryker; San Jose (CA); Remote; USD 115,000 - 245,000; Full time

Job summary

A leading company in the medical technology field seeks a Sr. Staff MLOps Engineer to join their innovative AI unit. This remote position involves developing and maintaining high-performance MLOps systems that support AI applications across various healthcare settings. Ideal candidates will have significant experience in machine learning and extensive knowledge of programming, with a focus on cloud-native environments.

Benefits

Health benefits including medical and dental insurance

401(k) plan

Employee Stock Purchase Plan (ESPP)

Qualifications

• 6+ years of experience in machine learning operations or software/platform development.
• Experience with Azure cloud platform and machine learning services.
• Strong knowledge of programming languages commonly used in AI/ML.

Responsibilities

• Design, develop, and maintain scalable MLOps systems that interact with AI models.
• Cooperate with cross-functional teams to define project scope.
• Troubleshoot and resolve complex software problems.

Skills

Python

R

C++

Education

Bachelor's degree in Software Engineering/ Computer Science

Tools

Azure

Docker

Kubernetes

Git

TensorFlow

PyTorch

Keras

Terraform

Azure DevOps

Job description

Join to apply for the Sr. Staff MLOps Engineer (REMOTE) role at Stryker

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Join to apply for the Sr. Staff MLOps Engineer (REMOTE) role at Stryker

What You Will Do: As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, AI/ML and digital innovation to the operating room and other healthcare settings. You’ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.

We are in search of a skilled and experienced Sr. Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. In this position, you'll be responsible for designing, developing, and maintaining complex software applications that flawlessly integrate with state-of-the-art AI and machine learning technologies.

• Design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems.
• Cooperate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.
• Offer technical leadership and expertise in choosing, evaluating, and implementing software technologies, tools, and frameworks in a cloud-native (Azure + AML) environment.
• Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems.
• Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery.
• Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines.
• Contribute to the development of high-performance data pipelines, storage systems, and data processing solutions.
• Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals.

What You Will Need:

Required Qualifications:

• Bachelor's degree in Software Engineering/ Computer Science or related discipline
• 6+ years of experience in machine learning operations or software/platform development.
• Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++.
• Experience with Azure cloud platform, machine learning services, and best practices.

Preferred Qualifications:

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with version control systems, such as Git, and CI/CD tools, such as Jenkins, GitLab CI/CD, or Azure DevOps.
• Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.
• $115k-245k salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Employees and new hires in sales and field roles that require access to customer accounts may need to obtain various vaccinations as an essential function of their role.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Appliances, Electrical, and Electronics Manufacturing, Industrial Machinery Manufacturing, and Medical Equipment Manufacturing

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