DecagonSan Francisco, CABuild and own end-to-end AI agents for enterprise customers, integrating latest text/voice models and iterating based on real-world usage. Requires 8+ years of software engineering experience with Python and TypeScript.
Build and own the core AI platform powering an AI-native trading copilot. Develop high-performance Rust backend for streaming, tool execution, and safe trading actions; design robust APIs with observability and security. Requires 8+ years systems programming experience.
Own reliability and quality for an AI copilot in a trading platform. Design evaluation systems, benchmarks, quality gates, model improvement loops, and AI monitoring for correctness, safety, and performance in market analysis and trading workflows. Requires 8+ years production software experience and strong ML eval expertise.
3-month research fellowship for early-career researchers working on frontier Multimodal LLMs, generative modeling, and real-time audiovisual AI. Own a research problem in pretraining, post-training, RL, evaluation, or multimodal modeling. Strong PyTorch and first-author tier-1 paper required.
Early-career engineer optimizing inference for real-time multimodal AI avatars. Focus on KV cache strategies, serving frameworks, quantization, and latency reduction for LLMs and diffusion models.
Build and maintain fraud detection models and financial risk products through full ML lifecycle, including production code. Requires 6+ years experience (or 8+ with Masters), PhD preferred, strong end-to-end DS/ML skills, and domain interest in fraud/identity.