Stryker Corporation

Staff AI Engineer (Hybrid)

Stryker Corporation$133K — $222K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 with 2+ years of experience.
  • Proficiency in Python; familiarity with C++ or other relevant languages preferred.
  • Experience designing evaluation metrics and test sets for stochastic AI systems.
  • Experience bringing statistical rigor to AI evaluation and validation processes.

Responsibilities

  • Own technical direction for GenAI and multimodal agent capabilities, ensuring alignment with product needs.
  • Architect stateful systems ensuring deterministic behavior where safety is critical.
  • Design guardrails to manage stochastic model behavior and set testable boundaries.
  • Set evaluation standards with comprehensive test sets for accuracy and robustness under clinical conditions.
  • Develop real-time speech and language systems, balancing quality against medical device constraints.
  • Evaluate and fine-tune AI models for domain-specific terminology; manage decisions on model sourcing.
  • Document safety metrics and procedures for regulatory compliance and quality management systems.

Benefits

  • Flexible hybrid work environment.
  • Opportunities for professional mentoring and growth within the engineering team.
  • Engagement with cutting-edge technologies in healthcare AI.
  • Collaboration with multidisciplinary teams including clinical and regulatory specialists.
  • Participation in projects impacting patient care and medical device functionality.
Full Job Description
Work Flexibility: Hybrid

We're hiring a Staff AI Engineer to build GenAI and voice agents for medical devices, deployed both on-device and in the cloud. You'll own the technical direction for these systems - connecting clinical use cases to the models behind them (ASR, TTS, SLMs, speech-to-speech) while working within tight on-device limits latency, memory, and reliability. This is a hands-on applied ML role, and the core challenge is making stochastic models behave predictably enough for clinical use: bounding them with deterministic architecture, building evaluation sets and frameworks, and designing safety guardrails that hold up in a regulated environment. At the staff level, you'll set the architecture and evaluation standards the rest of the team builds against, take on the hardest technical bets first, and align device software, data, validation, clinical, and regulatory teams around the safety, effectiveness, and quality of AI-enabled features across the product lifecycle - consistent with FDA guidance and good machine learning practice.

What You Will Do

  • Own the technical direction of GenAI and multimodal agent (voice, text, vision) capabilities: translate product needs into robust, testable AI system designs, drive the architecture across components, and carry the highest-risk pieces from prototype through validation-ready implementation.


  • Architect stateful agentic systems (intent handling, tool/function calling, dialog and device-state management, interruption handling and recovery) that behave deterministically where safety requires it, with well-defined interface contracts between AI components and device software.


  • Manage and mitigate stochastic model behavior: design layered guardrails (deterministic validation, plausibility bounds, model-based checks), define what the model is and is not permitted to decide, and make those boundaries testable.


  • Set the standard for evaluation of multimodal GenAI systems: comprehensive test sets and automated harnesses covering task and intent accuracy, robustness under realistic clinical audio conditions, conversational quality, and responsiveness.


  • Develop and evaluate real-time speech and language components (speech recognition, synthesis, and dialog/turn handling), balancing model quality against the latency, memory, and reliability constraints of medical hardware.


  • Evaluate, select, integrate, and fine-tune off-the-shelf and small-footprint models (SLMs, domain-adapted ASR) for domain-specific terminology; own the buy/adapt/build decisions and their justification.


  • Establish safety, bias, and performance metrics tailored to voice and generative systems, and produce documentation supporting QMS and regulatory submissions.


  • Instrument systems for traceability: structured logging, audit trails of agent actions, and reproducible evaluation runs suitable for a regulated development process.


  • Mentor junior engineers, ensure engineering quality through design and code review, and communicate AI constraints and trade-offs clearly to product, clinical, and regulatory stakeholders.


  • Stay abreast of the rapidly evolving GenAI model, speech, and agent-architecture landscape; identify which advances matter for the roadmap and pragmatically incorporate them.


What You Need (Minimum Required Qualifications)

  • 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.


Preferred Qualifications (Strongly Desired)

  • Strong proficiency in Python; optionally, working proficiency in C++ or other relevant languages for performance-critical and embedded integration work


  • Hands-on experience designing custom evaluation metrics, evaluation harnesses, and test-set generation (both synthetic and human) for stochastic AI systems.


  • Experience bringing statistical rigor to AI evaluation and validation (acceptance criteria, confidence intervals, subgroup and robustness analysis), ideally in collaboration with validation or quality functions.


  • Experience building production systems around LLM function calling / tool use, including schema design, context management for small-context models, and prompt/configuration versioning.


  • Demonstrated recent experience in at least one of: NLP/LLM systems, speech processing (ASR/TTS), or the development and evaluation of 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 and interruption handling, and robustness to noisy environments.


  • Track record of technical leadership: setting direction for a significant system or product area and delivering it through/with other engineers.


  • Experience setting technical direction across multiple teams or leading the architecture of a multi-component product area.


  • Experience deploying and optimizing models on edge compute devices under latency/memory constraints.


  • Strong problem-solving, detail orientation, and critical-thinking skills; excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders; general knowledge of the healthcare market.


$133,400 - $222,300 USD Annual

Travel Percentage: 10%

About Stryker Corporation

Stryker Networks is a premier Information Technology partner providing IT managed services and database application development.

Stryker Corporation Careers

Joining Stryker Corporation means becoming part of a global team recognized for its commitment to innovation, leadership, and enhancing patient outcomes. As a leading medical technology company, Stryker is the perfect place to build a career that truly makes a difference.

Work You’ll Do

At Stryker, every position contributes to our mission of making healthcare better. Here, you will use your skills to work on transformative projects that improve lives across the globe. You will be part of a culture that thrives on growth, innovation, and leadership, and you will work alongside some of the brightest minds in the industry.

Innovative Careers

Stryker offers a range of job opportunities, from internships that provide a stepping stone into high-impact roles to leadership positions that drive strategic direction. Our team members benefit from a work environment that supports professional growth and diversity training, ensuring everyone, regardless of background, can thrive.

Be Part of a Great Team

Our employees enjoy a collaborative atmosphere that fosters innovation and encourages professional development. With a commitment to leadership and diversity, Stryker ensures that all team members have the opportunity to grow and influence the company's future. Our global scale and dedication to impactful solutions make us leaders in medical technology.

Future-Proof Your Career

Stryker is dedicated to career development, offering extensive training, benefits, and resources to help you advance professionally. From networking opportunities to workshops on resume and interview skills, we support your journey every step of the way. Our career paths are as diverse as the innovative products we develop and the markets we serve.

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Whether you’re just starting out or looking to take your career to the next level, Stryker provides the tools and resources to achieve your goals. We are continuously hiring and looking for ambitious, curious, and driven individuals to join our team.

Stryker Corporation – A Leader in Medical Technology

Our commitment to improving healthcare through innovative products sets us apart in the medical technology field. The synergy of our team’s expertise and our leadership in technology solutions enables us to meet the needs of our customers effectively.

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Learn more about Stryker Corporation
Size
46,000 employees
Market Cap
$91.9 billion
Industry
Net Income
$1.5 billion
Founded
2004
5 Year Trend
+8.6%
Revenue
$14.3 billion
NASDAQ

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