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Build and own backend services for FOX’s emerging-media platforms, using Go/Python/TypeScript and cloud-native stacks to power newsroom workflows, content discovery, and audience engagement.
Build and structure an internal AI services catalog, integrating NLP pipelines and RAG-based Gen-AI services using Python, Azure OpenAI, and cloud-native tools.
Design and implement generative AI and machine learning solutions for AWS customers, focusing on Amazon Bedrock, SageMaker, and agentic AI workflows.
Build low-code automation and collaboration tools for a DoD program using Microsoft Power Platform, SharePoint, and Atlassian tools, while leveraging AI-assisted development.
Design and advise customers on AI/ML solutions using AWS services like SageMaker and Bedrock, building GenAI pipelines and ML architectures for enterprise adoption.
Build and optimize deep-learning inference pipelines for LLMs on AWS’s custom Inferentia/Trainium chips, integrating PyTorch/JAX with the Neuron SDK to maximize throughput and latency.
NVIDIA’s accelerated computing platform relies on continuous performance excellence at every stage of development. We are seeking an outstanding Performance Analysis Manager to lead an engineering team responsible for…
Build and deploy scalable, secure machine learning systems and recommender engines using Python, PyTorch, and AWS SageMaker to power Thomson Reuters’ AI-driven products.
Design, train, and deploy cutting-edge ML and computer-vision models for identity verification, using PyTorch and modern architectures like CNNs and transformers to improve document and biometric KYC systems.
La data et le Machine Learning sont aujourd’hui au cœur des stratégies de transformation des entreprises. Nous les mobilisons comme de véritables accélérateurs de performance, en industrialisant les cas d’usage IA de…
Job Description Summary: We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this…
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and…
Designs and trains ML/SLMs to probe and harden AI systems against adversarial attacks like jailbreaks, prompt injection, and data poisoning, then translates findings into actionable remediation steps.
Develops machine learning and signal/image processing algorithms for display technologies (e.g., color calibration, True Tone, Auto Brightness) to enhance Apple’s hardware user experience.
Owns end-to-end AI/ML systems for LinkedIn’s recommender/classification platforms, designing models, optimizing GPU fleets, and driving production impact at scale with Python/Java and frameworks like PyTorch.
Build and own large-scale AI systems that power LinkedIn’s core products, from model training to production deployment at billion-member scale.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Build and ship ML-based features for Apple, focusing on training pipelines, inference infrastructure, and on-device model optimization for foundation models and multimodal systems.
Builds predictive models for aerospace/defense manufacturing (cycle time, tool wear, quality) using geometric deep learning, embeddings, and classical ML to optimize factory operations from CAD data and real-time process signals.
Build and optimize next-gen ML models in C++/Python with CUDA and PyTorch for real-world AI applications.
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