Applied IntuitionSunnyvale, CADevelop and deploy ML-first behavior prediction and planning systems for autonomous vehicles, forecasting the motion and interactions of road users. Requires a bachelor's degree, deep learning lifecycle expertise, and at least three years of production software experience with C++ or Python.
Build and deploy the ML-based perception system (3D detection, BEV, tracking, sensor fusion) for L4 autonomous trucks, owning models from architecture through onboard deployment and safety validation. Requires 5+ years in ML perception/robotics, strong Python/C++/PyTorch, and classical perception fundamentals.
Build and ship AI-native quality platform features, integrating and evaluating LLMs in real-world applications. The role requires strong software engineering fundamentals, 3+ years of experience, and hands-on expertise in prompt engineering, LLM observability, fine-tuning, and evaluation systems.
Build, deploy, and maintain machine and deep learning algorithms for biosignal-based medical devices, working across data curation, experimentation, validation, production, and client impact. Requires 4+ years of industry ML experience, DSP and statistics expertise, and proficiency with PyTorch or comparable frameworks.
Own the research-to-production pipeline at Deepgram, turning experimental speech ML models into reliable, scalable production services. Partner with researchers on robust workflows, automated release gates, inference optimization, and feedback loops across hybrid GPU infrastructure.
Backend Engineer building and optimizing Deepgram's core inference services for speech processing, including networking, audio transcoding, latency/memory optimization, and distributed compute orchestration. Requires 3+ years experience with Rust (or C/C++) and Python.