We are seeking a Computer Vision/AI Engineer to research, architect, and deploy state-of-the-art vision models for high-throughput, low-latency computer vision pipelines. In this role, you will work on problems spanning real-time object detection, multi-class classification, tracking, and instance segmentation. You will bridge cutting-edge applied research with edge/cloud production engineering—experimenting with advanced CNN backbones, Vision Transformers (ViTs), and multimodal architectures while optimizing inference speed for real-world constraint.
Technical Responsibilities
- Evaluate, benchmark, and adapt frontier vision architectures (e.g., YOLO variants, R-CNN, ViTs, Transformers, MobileNet backbones).
- Design, train, and fine-tune computer vision models using PyTorch, TorchVision etc.
- Architect data preprocessing, augmentation and annotation workflows for imbalanced and noisy visual datasets.
- Optimize deep learning models for strict latency/throughput budgets using TensorRT, ONNX Runtime, DeepStream etc.
- Apply model compression techniques including post-training quantization (INT8/FP16) and knowledge distillation.
- Implement active learning loops and continuous monitoring systems to track data drift and edge-case model failures in production.
Minimum Qualification
- Bachelor's degree in software engineering/ Computer Science or related discipline with 5+ years of work experience or Master’s in relevant disciplines with 5+ years of experience or PhD degree in relevant disciplines with 2+ years of work experience.
Preferred Qualifications
- 5+ years hands-on experience designing and training computer vision models in production or applied research environments.
- Proficiency in Python and PyTorch (or TensorFlow); solid foundation in OpenCV and NumPy.
- Proficiency in end-to-end MLOps practices.
- In-depth theoretical and practical grasp of
- Classic & modern CNNs (ResNet, EfficientNet, ConvNeXt).
- Vision Transformers & attention mechanisms (ViT, Swin, DETR, RT-DETR).
- Modern real-time detector architectures (YOLO*, RT-DETR, SSD).
- Excellent communication skills with the ability to work cross-team.
Good to have
Experience with video streaming protocols and pipelines (RTSP, WebRTC, GStreamer, FFmpeg, or NVIDIA DeepStream).
Travel Percentage: NoneSkills Required
- Bachelor's degree in Software Engineering, Computer Science, or a related discipline, with 5+ years of work experience
- Master's degree in a relevant discipline, with 5+ years of work experience
- PhD degree in a relevant discipline, with 2+ years of work experience
- 5+ years of hands-on experience designing and training computer vision models in production or applied research environments
- Proficiency in Python and PyTorch or TensorFlow
- Solid foundation in OpenCV and NumPy
- Proficiency in end-to-end MLOps practices
- Theoretical and practical knowledge of CNNs, Vision Transformers, attention mechanisms, and real-time detector architectures
- Excellent communication skills and ability to work cross-team
- Experience with RTSP, WebRTC, GStreamer, FFmpeg, or NVIDIA DeepStream
Stryker Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stryker and has not been reviewed or approved by Stryker.
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Healthcare Strength — Multiple medical plan options with HSA support and global mental‑health access indicate broad, accessible care. These features materially enhance the overall value of the total‑rewards package.
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Retirement Support — A meaningful 401(k) company match with potential additional company contribution, alongside an ESPP, supports long‑term savings and wealth building. Documented plan specifics help employees understand eligibility, timing, and vesting mechanics.
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Parental & Family Support — Paid parental and caregiver leave, adoption and surrogacy assistance, and practical supports like breast milk shipping reflect a comprehensive, family‑friendly approach. These offerings address varied family‑building paths and caregiving needs.
Stryker Insights
What We Do
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 130 million patients annually. More information is available at www.stryker.com. Together with our customers, we are driven to make healthcare better.
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