Machine Learning (ML) Engineer - Applied

ModelCat | Remote from Europe About ModelCat ModelCat is transforming how companies develop AI models for embedded, edge, and IoT devices. Our innovative platform uses AI to build AI - turning model architecture selection, training, optimization, and validation into a single powerful step. ModelCat takes what was previously a 12-24 month process requiring highly skilled AI professionals and reduces it to a 24-48 hour AI-powered job that can be run by developers, data scientists, and product owners. Trusted by industry leaders like NXP and Silicon Labs, ModelCat is a venture-backed startup headquartered in Sunnyvale, California. The Role We're seeking a motivated ML Engineer to help advance our AutoML platform. You'll play a key role in expanding its capabilities, onboarding new ML use-cases across vision, time-series, and beyond, and improving the product as we scale. This role offers meaningful growth potential toward a technical leadership track. What You'll Do AutoML Platform Development • Contribute to the development and enhancement of our AutoML system for Edge AI, including pipelines that combine deep-learning and conventional algorithms for embedded devices • Object tracking, multi-model pipelines, and emerging use-cases • Build and improve platform features across compute clusters and our web application • Define abstractions and contribute to the architecture of cloud, cluster, and embedded components ML Use-Case Expansion • Integrate new ML use-cases across a broad range of data domains and maintain and improve existing ones, including: • Time-series and audio, object re-identification, segmentation and keypoints • Action recognition (video), radar and point cloud data, multi-modal (vision + audio + sensor) • Small language models (NLP/SLM), classification, and object detection • Work with foundational computer vision and non-CV ML models - train, evaluate, modify, and combine them to unlock new functionality Edge AI Optimization & Deployment • Optimize AI solutions for edge devices using TinyML frameworks, creating models that fit a range of chip sizes and memory constraints • Deploy ML and non-ML algorithms on embedded targets (MCU and application-class microprocessors) • Productize research-quality code into robust, production-ready systems Collaboration & Craft • Partner on data strategies, preprocessing pipelines, and model training workflows • Stay current with Edge AI and AutoML advancements • Document your work and contribute to technical reports Who You Are Required • Master's degree in CS, EE, or a related field (PhD a plus) • 4+ years of relevant industry experience in ML (AutoML and Edge AI experience highly valued) • Strong Python skills with the ability to write production-quality code; C/C++ a plus • Solid command of ML frameworks: TensorFlow, PyTorch, ONNX • Proficient with the standard DS toolset: scikit-learn, OpenCV, pandas • Comfortable working in Linux-based development environments • Experience onboarding new ML use-cases and expanding into new data domains • Excellent problem-solving skills and strong written and verbal English communication Preferred • Experience with cloud platforms (AWS) and web technologies (Node.js, REST APIs) • Familiarity with compute cluster tools such as Ray and Optuna • Knowledge of model compression techniques: pruning, quantization, transfer learning, knowledge distillation • Experience defining software architecture for ML systems • Familiarity with CI/CD practices • Understanding of embedded systems concepts • Experience with non-ML algorithms and signal processing Mindset • Proactive, entrepreneurial approach - you thrive with ownership and ambiguity • Startup mentality: you move fast, learn faster, and care deeply about the outcome Why Join ModelCat • Market Opportunity - Edge AI is exploding, and we're solving a critical pain point in a massive and growing market • Real Customer Impact - Our platform compresses 12-24 months of model development into 24-48 hours - validated by customers like NXP and Silicon Labs • Technical Depth - Work on hard, meaningful problems at the intersection of AutoML, TinyML, and embedded systems • Growth Trajectory - Join during a pivotal growth phase with significant room to grow into technical leadership • Competitive Compensation - Base salary, performance-based bonus, and meaningful equity stake ModelCat is an equal opportunity employer committed to building a diverse and inclusive team.