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
- Understanding of classic and modern CNN architectures
- Understanding of Vision Transformers and attention mechanisms
- Understanding of modern real-time detector architectures
- Excellent communication and cross-team collaboration skills
- Experience with video streaming protocols and pipelines
Inari Medical Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Inari Medical and has not been reviewed or approved by Inari Medical.
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Fair & Transparent Compensation — Pay is considered competitive for many roles, with employees described as 'extremely happy' with total compensation including pay, stock, equity, and benefits. Feedback suggests above‑average salary levels across departments contribute to strong pay sentiment.
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Healthcare Strength — Benefits include comprehensive medical, dental, and vision coverage, with 100% employer‑paid premiums for employees cited in multiple descriptions. Additional options like critical illness, accident, hospital indemnity, and wellness programs reinforce the healthcare offering.
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Leave & Time Off Breadth — Time off is characterized by unlimited PTO, cited as a top benefit by employees. Paid holidays and flexible hours are also referenced, expanding the range of time‑off options.
Inari Medical Insights
What We Do
Inari Medical, Inc. is a commercial-stage medical device company focused on developing products to treat and transform the lives of patients suffering from venous diseases.
