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Build and scale an AI-powered backend platform using Python, FastAPI, and LLM systems to deliver real-time analytics and predictions for enterprise clients, primarily in healthcare.
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Build and evaluate frontier AI coding agents by solving complex ML engineering tasks, reviewing model-generated code, and identifying bugs or performance issues in production-ready systems.
Oversee end-to-end delivery of AI/ML projects, aligning business goals with technical execution while managing client engagements and pre-sales activities.
Build and maintain the distributed training and inference infrastructure that powers a startup’s AI research, using PyTorch, vLLM/SGLang, and GPU schedulers to scale physics-discovery models.
Build and scale the ML platform that powers threat detection and security automation at a leading cybersecurity company.
Builds and maintains core AI/ML infrastructure at Google, focusing on enterprise engineering with C++, Python, or Go while mentoring junior engineers.
Build and scale Google Cloud’s GenAI products, owning outcomes and influencing stakeholders with deep AI/ML expertise.
Build and deploy ML models to optimize JD.com’s global supply chain and retail systems using AI-driven logistics and data pipelines.
Freelance AI/ML engineers advise clients or join emagine’s teams on projects using Python/R, TensorFlow/PyTorch, and cloud platforms like AWS/Azure to build, deploy, and optimize models for enterprise clients.
Build and maintain Quora’s ML platform, optimizing GPU model serving and distributed systems to scale AI-powered features for millions of users.
About David AI David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world,…
Build and evaluate LLM and agent-based AI systems for mining technology, creating frameworks to measure model performance and ensure scalable, reliable AI solutions for customers.
Staff ML Engineer at Pinterest’s Applied Research team develops advanced AI models (LLMs, NLP, CV, GNNs) to enhance search, recommendations, and user engagement across Pinterest’s creative discovery platform.
Senior ML Eng Location: NYC (onsite only – not remote) Alliance is the leading accelerator for crypto & AI founders. Since 2020 we’ve backed 300+ startups (Rain, Pump, Synthetix, Pendle, and many more), now…
Build and deploy deep-learning computer-vision models on edge devices for smart machinery, optimizing inference for real-time, resource-constrained hardware.
Designs and operates high-throughput, low-latency ML systems for Expedia Group’s TravelAds platform, focusing on ad ranking, auction models, and real-time inference at scale (2000+ RPS, <100ms SLAs). Leads ML lifecycle automation, agentic AI workflows, and observability for a $1.3B advertising marketplace.
Build and deploy AI/ML models and MLOps pipelines in Python to production, ensuring reliability, scalability, and measurable business impact.
Builds high-performance, distributed storage systems for AI/ML workloads at the edge and in air-gapped environments, optimizing throughput and latency for model training and inference.
Build and improve ML models for humanoid robot manipulation, deploying them on real robots in a fast-paced startup.
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