> Markdown version of [/jobs/ext/2208580-senior-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2208580-senior-machine-learning-engineer). 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 - **Company:** Jumio - **Location:** Palo Alto, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Computer Vision, Biometrics, Cloud Engineering, Image Quality, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Azure Machine Learning, Systems Architecture, Workflow Management Systems, Data Ingestion, Pytorch, ONNX (Open Neural Network Exchange) Format, Production Code, Machine Learning Operations, TensorRT - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecib4xzwd ## About the Role * Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models) * Strong Computer Vision fundamentals * Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices * Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code * Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow * Cloud Native: Experience with GPU-based training and deploying ML services on AWS Nice to Have * Research Publications in top computer vision venues (CVPR, ICCV, ECCV) * Large Scale Search: Familiarity with vector databases and ANN search * Synthetic Data: Experience with GANs or diffusion models for data augmentation * Mobile/Edge Experience: CoreML, LiteRT, and/or TFLite * Familiarity with privacy, security, and compliance considerations in sensitive ML applications ## Description * Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition * Collaborate on benchmarking of models across datasets and operating conditions * Train and optimize models using PyTorch, TensorFlow, and/or JAX * Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. * Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. * Collaborate with and mentor ML engineers, and contribute to technical best practices across the Computer Vision team. ## Related Videos - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [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) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)