> Markdown version of [/jobs/ext/97736-senior-machine-learning-engineer-veti-platform](https://www.wearedevelopers.com/jobs/ext/97736-senior-machine-learning-engineer-veti-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - VETi Platform - **Company:** Kodiak Sciences - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Systems Engineering, Computer Vision, C++ (Programming Language), Program Optimization, Cognitive Science, Computer Programming, Software Debugging, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, Smart Devices, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Transfer Learning, Deep Learning, Imager, Information Technology, Low Latency, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Lidar - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5c4f383b735d06c2 ## About the Role Do you have experience in System deployment?, * B.S., M.S., or Ph.D. in AI, Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a related technical discipline, or equivalent practical experience. * 5+ years of professional machine learning experience developing and deploying production models. * Strong programming experience in Python and C++, with at least one major ML framework (PyTorch, TensorFlow, or JAX) and solid software engineering practices. * Strong deep learning experience, particularly in computer vision (CNNs, transformers, segmentation, detection, classification). * Experience deploying models to edge devices, including model optimization (quantization, pruning, distillation) and inference runtimes (ONNX, TensorRT, or similar). * Ability to collaborate across machine learning, software, hardware, scientific, and engineering teams. Additional Experience That Would Be Valuable * Experience with medical imaging data (OCT, fundus, retinal scans, MRI, CT, or similar). * Experience working with 3D or volumetric imaging data (e.g., OCT B-scans, volumetric MRI/CT). * Experience building AI agents for user interaction or human-in-the-loop systems. * Experience with self-supervised learning, transfer learning, or other data-efficient methods for limited labeled data. * Familiarity with regulated medical-device AI development (FDA SaMD, IEC 62304, ISO 13485), or willingness to learn. ## Description Our VETi - Visual Engagement Technology and Imager - platform is an AI-enabled wearable system combining advanced LiDAR, Optical Coherence Tomography (OCT), embedded computing, machine learning, and AR/VR technologies. VETi is being developed for applications in retina care, digital health, identity security, cognitive science, and broader AI-enabled vision technologies. We are looking for a Senior Machine Learning Engineer to build the AI foundation for Kodiak's VETi platform, from model research and training to deployment on embedded medical imaging hardware. This role is well suited for an engineer with strong machine learning and software fundamentals who enjoys complex computer vision problems and is excited to ship AI that runs on real wearable devices. Responsibilities * Lead the design, training, and deployment of machine learning models for wearable imaging and sensing systems - from research prototypes through production. * Develop computer vision models for image processing and analysis across multiple imaging modalities and sensors. * Analyze medical imaging data with deep learning models to support diagnostics and clinical decision-making. * Build training pipelines, data labeling workflows, and evaluation frameworks that scale across imaging datasets. * Integrate and optimize AI inference into the VETi platform's real-time imaging and device-control stack, deploying to NPUs, GPUs, and embedded accelerators within latency, power, and memory budgets. * Debug model accuracy and performance across training, evaluation, and on-device environments. * Collaborate with electrical, optics, clinical, software, and systems engineering teams., This role is an opportunity to build AI for real-world physical systems-optics, sensors, and embedded computing-running on actual devices, not just in the cloud. You will work at the intersection of software, hardware, medical imaging, optics, AR/VR, LiDAR, OCT, and AI. The platform is novel, the technical challenges are significant, and the work has the potential to shape a new class of wearable vision technologies. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [A practical guide to writing secure Dockerfiles](https://www.wearedevelopers.com/videos/109-a-practical-guide-to-writing-secure-dockerfiles) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)