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About Elemynt ELEMYNT is an early-stage startup built by Xora Innovation. We develop applied intelligence that brings AI into the real world. Our platform combines advanced machine learning, high-performance…
The Senior Data Engineering Manager leads a team of data scientists and engineers to develop data-driven perception and planning solutions for autonomous driving systems. The role involves defining technical strategy, managing large-scale data pipelines, and collaborating across global teams to improve ML model performance.
Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported by API development…
Patronus AI is seeking a Product Engineer to build and maintain complex simulation environments for training and evaluating AI agents. You will work across the full stack using React, TypeScript, and Python to create realistic workflows that help frontier labs stress-test their models.
Researcher building agent-simulation environments and reinforcement-learning systems to train and evaluate frontier AI models for safe, human-aligned general intelligence.
Patronus AI is seeking a Senior Software Engineer to build end-to-end simulation environments and platform tooling for training and evaluating AI agents. The role involves full-stack development using React, TypeScript, Python, and FastAPI to create robust environments that stress-test frontier models.
Own the internal platform and tools that turn frontier-lab demand into delivered RL environments, defaulting to agentic workflows with humans as the exception.
Own end-to-end delivery of RL environments that stress-test frontier AI agents; manage scope changes, QA, and customer handoffs while staying hands-on with code and data.
Research Product Manager who acts as PM for AI models—co-designing capabilities with researchers, architecting synthetic data pipelines and simulation environments for reinforcement learning, and running experiments/benchmarks.
Lead applied ML projects for industry clients, mentor junior staff, and translate academic research into practical solutions using Python, PyTorch, and related ML frameworks at an AI research institute in Edmonton.
Senior Applied AI/ML Scientist on the Retailer Growth team, building ML systems for paid marketing optimization, bidding, targeting, AEO content creation, and LTV predictions on a wholesale marketplace platform.
Lead the design and optimization of Mistplay's rewards economy by building real-time ML systems—contextual bandits, RL frameworks, predictive models—using Python, PyTorch, and SQL to personalize reward distribution for mobile gamers.
Overview Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will…
Develops on-device ML models and control systems to optimize power/energy tradeoffs in Apple hardware, analyzing real-world device behavior and shipping solutions to manage thermal/battery dynamics across products.
Full-stack engineer building product surfaces, backend services, and internal tools for HUD's RL training data and evals platform, using Python, React/TypeScript, and cloud infrastructure.
Develops C++ motion planning algorithms for autonomous vehicles, focusing on trajectory generation and real-time decision-making in dynamic environments.
The Director of Data Science will lead a team to develop predictive models and customer intelligence strategies for media brands, focusing on personalization, engagement, and product growth. The role involves leveraging Python, SQL, and machine learning to drive actionable insights across web and mobile platforms.
Lead Software Engineer building full-stack features across three flagship products using Angular, React, Node.js, and AWS serverless, collaborating with clinicians and ML researchers to drive patient outcomes in healthcare.
Designs and deploys C++/Python planning algorithms for ADAS/autonomous vehicles, analyzing fleet and simulation data to improve decision-making in Lucid’s in-house software stack.
Designs and maintains high-performance infrastructure for large-scale generative AI and machine learning workloads, including distributed systems, GPU compute, and MLOps pipelines in a financial firm.
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