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Machine Learning Engineer building and optimizing recommendation systems (collaborative filtering, deep learning, GNNs) for gaming platforms, using TensorFlow, PyTorch, Spark, and distributed data processing to personalize content and maximize user LTV.
Technical Product Manager owning platform features from idea to launch at mpathic, an AI safety/evaluation infrastructure company. Day-to-day involves writing PRDs, defining evaluation and annotation standards, running demos, and coordinating across engineering, research, and go-to-market teams using tools like Linear and Figma.
Senior engineer who configures and deploys AI control systems for industrial facilities, translating customer needs into production-ready reinforcement-learning solutions for HVAC and data-center cooling.
Leads the product strategy for Prism, an AI-powered industrial automation platform, shaping its evolution from diagnostics to autonomous control while collaborating with engineering, AI, and go-to-market teams.
Research Engineer - AI / ML / LLM We are partnered with a global leader in the semiconductor industry. The team is looking to hire a Research Engineer to contribute to cutting-edge AI projects spanning both applied and…
Leads AI/ML product strategy for data-quality and evaluation systems, defining roadmaps for agentic workflows, synthetic data, and expert contributor tools to improve AI-ready dataset delivery.
Own the roadmap for internal infrastructure, data, and security platforms at an AI company, coordinating engineering pods and translating business needs into prioritized technical projects.
Builds and scales AI-powered fintech integrations at Plaid, focusing on backend APIs, LLM-driven features, and customer-facing AI agents to enhance financial data access and automation.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Lead a data-science team at an AV company, turning fleet, simulation, and ML data into safety metrics, release criteria, and autonomy-stack improvements for real-world transit deployments.
Build and scale AI-driven marketing optimization systems using causal ML and probabilistic modeling to help brands optimize ad spend and growth.
Build and deploy LLM-based agent systems for automotive use cases, including reasoning pipelines, preference data training, and end-to-end applications for sales and support.
Build and refine AI-driven security testing for cloud apps: write detection rules, simulate attacks, and reduce false positives to protect Fortune 100 infrastructure.
Oversee security compliance and accreditation for a defence AI company, ensuring products meet French and international security standards while coordinating with national authorities.
Builds and optimizes LLM-powered autonomous agents, focusing on prompt engineering, orchestration, and cloud-native deployment with Python and AWS.
Designs, optimizes, and deploys large language models to run efficiently on SambaNova’s custom RDU hardware, guiding hardware-software co-design and production integration.
Develop AI agents and LLMs to automate and optimize e-commerce supply chain and logistics workflows, focusing on multimodal understanding and cost-efficient inference.
Build and evaluate LLM-based agent systems for e-commerce supply chain and logistics workflows using reinforcement learning and retrieval-augmented generation.
Develops advanced LLM-based agent systems for e-commerce supply chain logistics, focusing on task automation, multimodal reasoning, and real-time optimization of workflows like address correction and trajectory prediction.
Builds ML models for e-commerce supply chain forecasting, logistics optimization, and demand prediction using time series, deep learning, and NLP/LLM techniques.
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