We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands-on expertise in building, deploying, and optimizing machine learning models at…
Location: Spain - Candidates must be resident in Spain at the time of application. Work Arrangement: Remote Reporting to:Principal Research Scientist Please submit your CV in English. As English is the primary working…
Principal Python Developer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs…
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
Agixis - Société de conseil et d'expertise IT, spécialisée dans la santé, l'IoT et l'industrie 4.0 ainsi que la transformation digitale. Qui sommes-nous - Chez Agixis, nous sommes des Agicien-nes…
About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive…
About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they…
[ Quora is a privately held, "remote-first" company . This position can be performed remotely from anywhere in Canada or the United States. Please visit for details regarding employment eligibility by country.]…
Overview DecisionPoint seeks an AI/ML Architect to design artificial intelligence pilots, machine learning pipelines, and advanced analytics models supporting a large federal and DoD-aligned mission environment. This…
Overview DecisionPoint seeks an AI/ML Engineer to rapidly develop prototypes, implement integrations, and operationalize AI/ML capabilities that support a large federal and DoD-aligned mission environment. This role…
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated…
Full Stack Software Engineer at Anduril Labs in Washington, DC, building prototypes for advanced defense technologies (autonomous systems, GenAI, quantum, cybersecurity) using Python, C++, React, cloud, AI/ML frameworks, and containerization; owns full SDLC, collaborates across teams, and participates in field experiments.
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st…
Builds, scales, and optimizes Anduril's machine learning platform and MLOps tooling for autonomous systems, including training, evaluating, and serving AI models (LLMs, computer vision, RL) across cloud and air-gapped edge environments. Uses Python/Go/C++, Docker/Kubernetes, and distributed training frameworks.
Senior ML/CV Engineer owning the full machine learning stack for Anduril's Counter Intrusion team, designing and deploying multi-sensor object detection models on edge devices using C++, Python, PyTorch/JAX/TensorFlow, TensorRT, and ONNX for defense technology.
Lead the design, development, and deployment of ML models and data pipelines for autonomous maritime and air systems, managing the full ML lifecycle from data curation to production in a classified environment. Work spans computer vision, sensor processing, MLOps, and cross-functional integration with engineering teams.
A Senior ML Engineer at Anduril Industries bridges ML research and production by hardening and deploying ML systems on factory floors and in the cloud. The role owns MLOps infrastructure, inference pipelines, on-call rotations, and cross-functional coordination using Python, PyTorch/TensorFlow, Docker, Kubernetes, and edge/OT environments.
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