Staff AI Engineer

Stryker

Staff AI Engineer building regulated GenAI and voice agents for Stryker medical devices. Setting architecture, evaluation, and safety standards across on-device and cloud systems.

Posted 8/24/2026full-timeMenlo Park • California • 🇺🇸 United StatesLead💰 $133,400 - $222,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML engineering with a focus on designing and implementing multimodal agent capabilities for medical devices. Proficient in Python and experienced in developing evaluation metrics, real-time speech processing, and regulatory documentation.

Highest-signal resume keywords

AI/ML Engineering ExperiencePython ProficiencyNLP/LLM Systems ExperienceTechnical LeadershipReal-Time Speech Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI System DesignEvaluation Metrics DesignStatistical Rigor ApplicationProduction System DevelopmentModel Fine-TuningReal-Time Voice Interface DevelopmentTool/Function CallingDialog ManagementInterruption HandlingEdge Compute Optimization

Soft Skills

Problem-SolvingDetail OrientationCritical ThinkingExcellent CommunicationInterpersonal Skills

Tools & Technologies

PythonC++ASRTTSGenAIMultimodal SystemsStreaming AudioEvaluation HarnessesQMS DocumentationRegulatory Submission

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Related Field

Industry Keywords

Healthcare MarketMedical DevicesAI Evaluation StandardsSafety MetricsBias Metrics

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the technical direction of GenAI and multimodal agent capabilities for medical devices
Translate product needs into robust, testable AI system designs and drive architecture across components
Carry high-risk technical components from prototype through validation-ready implementation
Architect stateful agentic systems including intent handling, tool/function calling, dialog and device-state management, interruption handling, and recovery
Design layered safety guardrails and define testable model boundaries
Establish evaluation standards, comprehensive test sets, and automated harnesses for multimodal GenAI systems
Develop and evaluate real-time speech and language components while balancing quality with medical hardware constraints
Evaluate, select, integrate, and fine-tune off-the-shelf and small-footprint models
Own buy/adapt/build decisions and their justification
Establish safety, bias, and performance metrics and produce QMS and regulatory submission documentation
Instrument systems with structured logging, agent-action audit trails, and reproducible evaluation runs
Mentor junior engineers and ensure engineering quality through design and code review
Communicate AI constraints and trade-offs to product, clinical, and regulatory stakeholders
Track GenAI, speech, and agent-architecture advances and incorporate relevant developments into the roadmap

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Machine Learning, Electrical Engineering, Biomedical Engineering, Mathematics, or related field
4+ years of AI/ML engineering experience, OR Master's Degree in the above fields and 2+ years
Strong proficiency in Python
Working proficiency in C++ or other relevant languages optionally preferred
Hands-on experience designing custom evaluation metrics, evaluation harnesses, and test-set generation
Experience applying statistical rigor to AI evaluation and validation
Experience building production systems around LLM function calling/tool use
Recent experience in NLP/LLM systems, speech processing (ASR/TTS), or generative AI applications
Experience fine-tuning ASR or small language models for domain-specific vocabulary
Experience with real-time voice interfaces, streaming audio, turn-taking, interruption handling, and noisy environments
Technical leadership experience setting direction for significant systems or product areas
Experience setting technical direction across multiple teams or leading multi-component product architecture
Experience deploying and optimizing models on edge compute devices under latency and memory constraints
Strong problem-solving, detail orientation, and critical-thinking skills
Excellent communication and interpersonal skills
General knowledge of the healthcare market

Benefits

Comp & perks

Hybrid work flexibility
Equal opportunity employment
10% travel allowance/requirement