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Own the platform that connects Heidi’s AI healthcare tools to clinicians’ existing systems like EMRs, scheduling, and document stores, balancing platform-wide standards with regional customer needs.
Senior full-stack engineer building AI-powered systems for cloud and edge devices, integrating computer vision, NLP, and multimodal models into production-ready solutions for mission-critical applications.
Builds and deploys AI features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Deploy and optimize large language models (LLMs) in production, quantize models, fine-tune with SFT/LoRA/RLHF, and build RAG/agentic pipelines for high-load systems.
Build and deploy core ML components for an AI-native assistant that automates daily tasks with high reliability and low latency using Python, PyTorch/JAX, and GPU-based production systems.
Builds and maintains large-scale data platforms (storage, streaming, indexing) that power AI models via human feedback and evaluation systems.
Owns end-to-end delivery of enterprise AI programs, aligning engineering, product, and executives while managing timelines, risks, and dependencies for frontier agent deployments.
Lead AI deployment for U.S. intelligence agencies, shaping requirements, navigating IC acquisition, and embedding agentic AI into NRO and NGA workflows.
About Scale AI Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing governments around the world. Our core work consists of: Creating custom AI applications…
Builds and maintains identity infrastructure (authentication, authorization, IAM) for AI platforms, ensuring secure access control for enterprise and government clients using OAuth, SAML, ReBAC, and cloud-native tools like Terraform.
Owns the core infrastructure that AI teams build on, defining platform capabilities, sequencing work, and ensuring production-ready quality for agentic systems.
Forward-deployed product manager embedded with enterprise customers to drive AI/ML deployments to production, translate operational reality into product feedback, and expand customer value.
Build and scale core data platforms (storage, streaming, caching, indexing) that power Scale AI’s Generative AI Data Engine and RLHF systems, collaborating with cross-functional teams to deliver high-impact infrastructure for the forefront of AI.
The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer…
Build production systems for robotics data pipelines, ML training, and evaluation infrastructure using Python, C++, React, and cloud tools to power autonomous systems and computer vision.
Build and deploy end-to-end AI applications for public-sector clients, fine-tune LLMs, and create high-quality training datasets to improve citizen-facing services globally.
Build and ship AI-powered features end-to-end, turning model capabilities into reliable, real-world user experiences using Python, LLMs, and vector databases.
Koniag Services Inc., a Koniag Government Services company, is seeking a talented and innovative Data Scientist to support the development and implementation of advanced data science, machine learning, and predictive…
Build and improve ML systems powering Macroscope’s AI features, focusing on evaluation datasets, model training, and reinforcement learning to enhance codebase insights and developer productivity.
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