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Build and maintain production ML systems for fraud detection, risk modeling, and AML at a global payments company using Python, PyTorch, and Kubernetes.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen,…
Build and deploy production-grade machine learning models that power payments, risk, identity and regulatory products at a global fintech platform.
Senior Machine Learning Scientist at Adyen in Amsterdam designs, trains, and deploys ML models for payments, risk, and optimization systems using big data and MLOps tooling.
Инженер ML — прогнозирование в рознице (Machine Learning Engineer) О компании и команде «Евроторг» — крупнейшая продуктовая розничная сеть Беларуси (Евроопт, Хит!, Грошык), более 33 000 сотрудников. Мы строим…
Software Engineer III on Google's AI/ML Agentic AI Platform and Hardware Harness team in Bengaluru, writing product/system code, optimizing ML models and data processing, and debugging issues across hardware, network, and services. Core work spans ML infrastructure, model deployment/evaluation, and specialized ML areas like speech/audio or reinforcement learning.
SoftServe's AI & Data Science CoE is hiring a Senior Computer Vision Engineer to build, fine-tune, and deploy computer vision and generative AI solutions for real business problems. Day-to-day work spans training pipelines in Python/PyTorch, multimodal and diffusion models, and production deployment via ONNX/TensorRT/Triton with cloud MLOps on AWS, GCP, or Azure.
Die Agentur PHILIPP GmbH ist eine mehrfach ausgezeichnete Technologie & KI-Agentur. Wir entwickeln innovative KI-gestützte Lösungen für den Mittelstand. Unser Fokus liegt auf modernsten Technologien wie Large…
Machine Learning / MLOps Engineer focused on developing and productionizing pricing models for airline ancillary products. You will manage the end-to-end ML lifecycle using GCP (Vertex AI, BigQuery), Terraform, Docker, and GitHub Actions, with a heavy emphasis on infrastructure automation and production reliability.
We're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers discover products every day.…
We're looking for a Senior Machine Learning Engineer to join our Search and Recommendations team, where we're building the next generation of AI-powered fashion experiences at ASOS. Our mission is to help…
The ML Engineer will design, build, and deploy deep‑learning driving models and related data pipelines, evaluation tools, and production systems for autonomous vehicles, collaborating with AI, simulation, and robotics teams. Core technologies include Python, PyTorch, C++, CUDA, and real‑time robotics.
Lead a new Application Engineering team to develop and deploy autonomous driving features for the US market, overseeing robotics, machine learning, and systems integration while hiring, mentoring, and collaborating with OEM partners.
Lead a Japan-based team to localize and develop autonomous driving features, overseeing robotics, machine learning, and systems integration while collaborating with OEMs and global engineering teams.
The Staff Machine Learning Engineer will lead the development of safety-critical, end-to-end driving models for autonomous vehicles using large-scale data and transformer-based architectures. This role involves setting technical strategy, conducting research, and collaborating across teams to improve model robustness and performance in real-world driving scenarios.
Build and refine data pipelines and evaluation frameworks for autonomous-driving foundation models, curating rare driving events and measuring model progress to scale safe, generalizable AI for vehicles.
The Staff Machine Learning Engineer builds and fine‑tunes computer‑vision and scene‑understanding models for offline performance measurement of autonomous vehicles, leveraging Python, PyTorch, transformer‑based vision models and large foundation models, and benchmarks their accuracy across platforms and conditions.
Train, debug, and ship computer vision and 3D perception models powering Wayve's ADAS driver-assistance products, working across the full ML lifecycle — building scalable data pipelines (incl. auto-labelling), training, evaluating, and iterating on detection, segmentation, and tracking. Involves both on-car latency-constrained models and offline large-scale data generation using CV/deep learning,
Senior ML engineer optimizes PyTorch models for edge deployment, iterating from training to production-ready releases under tight latency and memory constraints for autonomous-vehicle systems.
Develops 3D foundation models and world models for autonomous driving systems, focusing on geometric vision, multi-view geometry, and sensor fusion (LiDAR, radar, camera) to enable vehicles to perceive and navigate complex environments.
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