AI Engineer

Job not on LinkedIn

🔥 14 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ookla

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2006

📡 Telecommunications

🏢 Enterprise

Telecommunications • Enterprise

Ookla is a leading provider of network intelligence and connectivity insights. The company offers a wide range of solutions including network planning and optimization, service disruption management, and network testing. Ookla's products, such as Speedtest, Downdetector, and Ekahau, are used by mobile network operators, internet service providers, governments, and enterprises to enhance digital experiences and optimize network performance. Ookla also provides market reports and data-driven insights that inform policy and infrastructure decisions related to telecommunications. Trusted by consumers, businesses, operators, and governments worldwide, Ookla plays a critical role in measuring and analyzing network performance and quality of service.

📋 Description

• Explore and pioneer innovative technologies and methodologies related to wireless communication systems planning, optimization, spatial mapping, and network troubleshooting • Design, build, and maintain real-time 3D spatial processing pipelines using LiDAR, camera feeds, and spatial telemetry • Develop computer vision models and post-processing algorithms to extract structural features, recognize building geometry, and generate precise 2D/3D floorplans • Translate research findings, algorithmic prototypes, and modern AI/ML/LLM concepts into production-grade Python code • Architect, deploy, and manage multi-model inference pipelines on AWS SageMaker and NVIDIA Triton Inference Server • Build end-to-end data and MLOps pipelines covering synthetic data generation, active annotation, dataset versioning, CI/CD, and real-time telemetry • Evaluate, deploy, and monitor model performance, latency, and spatial accuracy • Collaborate with software engineering, research, and product management teams to transition prototypes into scalable releases

🎯 Requirements

• Production-level mastery of Python alongside working knowledge of C++ or Swift • Hands-on experience with OpenCV, Open3D, or PCL (Point Cloud Library) • Experience with point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations • Deep experience with PyTorch or TensorFlow • Proficiency in Scikit-learn for traditional machine learning and statistical data analysis • Proven experience building low-latency serving infrastructure using NVIDIA Triton Inference Server • Experience managing end-to-end model workflows on AWS SageMaker • Familiarity with model quantization, pruning, and target compilers such as ONNX Runtime and TensorRT • Solid foundation in linear algebra, 3D geometry, coordinate systems, and multi-sensor fusion • Awareness of modern LLM and multimodal applications