- 4085 Campbell Ave STE 200, Menlo Park, CA, 94025, US
- Remote-US
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Why join Stryker?
Looking for a place that values your unique talents? Discover Stryker's award-winning culture.
We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirement programs, wellness programs, as well as service and performance awards – not to mention various social and recreational activities, all of which are location specific.
Job description
It’s Time to Join Stryker!
Why Join Stryker?
The Stryker AI team is a leader in Artificial Intelligence innovation within Stryker. We develop cutting-edge AI solutions, including Large Language Models (LLMs), deep learning, and computer vision technologies, driving impactful advancements across the enterprise.
At Stryker, you’ll work on innovative projects that improve lives. Our inclusive and supportive environment empowers everyone to contribute, grow, and thrive. We are committed to advancing AI technologies responsibly while prioritizing ethics, compliance, and diversity.
What You Will Do
As an AI Governance Engineer, you will play a vital role in guiding Stryker’s AI strategy and adoption. You will collaborate with cross-functional teams to evaluate and shape AI solutions, ensuring alignment with business objectives, risk assessments, and ethical and regulatory standards. Your expertise will drive innovation while promoting responsible AI development.
- You will evaluate and guide AI solutions proposed to the AI Operating Committee, ensuring compliance with governance standards.
- You will collaborate with data scientists, engineers, product managers, and risk analysts to create AI strategies that align with business goals.
- You will identify potential risks in AI implementations and develop strategies to address them effectively.
- You will work with legal and compliance teams to meet ethical standards and data privacy regulations, including HIPAA, GDPR, and ISO requirements.
- You will participate in AI proof-of-concept projects and experiments to explore new applications and technologies.
- You will maintain detailed technical documentation for all AI initiatives.
- You will keep abreast of advancements in AI to recommend best practices in design, development, and deployment.
What You Need
Required Qualifications
- Education: Bachelor’s degree required (a degree in Software Engineering, Computer Science, Artificial Intelligence, or Data Science is highly preferred).
- Experience: 6+ years of professional experience in software development or AI-related roles is required.
- Technical Expertise: Proficiency in Python is required.
Preferred Qualifications (You do not need to have all of these)
- Familiarity with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with natural language processing (NLP), Large Language Models (LLMs), and AI system architecture.
- Knowledge of APIs, cloud platforms (e.g., AWS, Azure, Google Cloud), and cybersecurity principles as they apply to AI.
- Understanding of regulatory frameworks, such as the EU AI Act, NIST guidelines, or similar.
- Familiarity with Retrieval-Augmented Generation and Agentic AI systems.
- Knowledge of bias detection and mitigation strategies in AI models.
- Experience in regulated environments, particularly with MDDS or SaMD software.
- Proficiency in additional programming languages (e.g., C++, Swift, or JavaScript).
What Sets You Apart
- Strong communication skills to explain technical concepts to diverse audiences.
- A collaborative mindset with a focus on collective success.
- Self-motivation and the ability to independently drive tasks to completion.
$112,800 - $239,900 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.