- Amazon (San Francisco, CA)
- …a Member of Technical Staff specializing in Reinforcement Learning to develop infrastructure for training AI models. This role requires innovative programming skills ... in Java, C++, and Python, alongside a strong background in machine learning. Ideal candidates will have a PhD or Master's and experience with large-scale ML systems. This position is based in San Francisco, California, and offers the chance to contribute to… more
- Amadeus Search (San Francisco, CA)
- …rapid growth (200%+ month-over-month). With a small, research-focused team, they are building scalable data and RL infrastructure to power next-generation AI ... Research Engineer will be responsible for designing scalable RL recipes, building modular environments, and...create accessible tools for non‑technical users. Advance research bridging scalable infrastructure and modern RL … more
- Serve Robotics (Redwood City, CA)
- …way to solve complicated dynamic problems is collaboratively and respectfully. The Lead Engineer , RL Scaling & Procedural Scenario Generation is responsible for ... building scalable training pipelines and generating high-fidelity synthetic scenarios. This...simulation environments, creates diverse long-tail edge cases, and optimizes RL systems to train robust foundational models. This role… more
- deCircle (San Francisco, CA)
- …such as GraphTally and Allocation Optimizer with backend logic. Implement scalable infrastructure for micropayments, pricing, and staking optimization. Frontend ... About Semiotic Labs Semiotic Labs builds advanced Web3 infrastructure , autonomous agents, and cryptoeconomic protocols that power decentralized finance and data… more
- Phase2 Technology (Alexandria, VA)
- Job Number: R0229614 Agentic AI Machine Learning Engineer The Opportunity As an experienced machine learning engineer , you understand good software is more than ... built to handle fast-moving data to seamlessly scale with infrastructure based on system usage and to expand based...based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and… more
- Booz Allen Hamilton (Mclean, VA)
- Agentic AI Machine Learning Engineer **The Opportunity:**As an experienced machine learning engineer , you understand good software is more than just a good user ... built to handle fast-moving data, to seamlessly scale with infrastructure based on system usage, and to expand based...based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and… more
- Cerebras (Palo Alto, CA)
- …and build end‑to‑end systems spanning both front‑end and back‑end components. Develop scalable infrastructure to support agentic workflows, data pipelines, and ... We're Looking For Experience: 4+ years as a backend engineer , with 2+ as an early engineer ...GitHub, or screenshare). Bonus Points Experience with agentic systems, RL environments, or AI/ML infrastructure . Contributions to… more
- black.ai (Palo Alto, CA)
- …roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint. By harnessing the laws of quantum ... architecture, and validation teams and is responsible for building the scalable , distributed, fault‑tolerant control plane and operating system for utility scale… more
- Booz Allen Hamilton (Alexandria, VA)
- …during your journey as a candidate with us. As an experienced machine learning engineer , you understand good software is more than just a good user experience. To ... built to handle fast‑moving data to seamlessly scale with infrastructure based on system usage and to expand based...based on evolving mission requirements. We're looking for an engineer like you to create artificial intelligence (AI) and… more
- Pantera Capital (Palo Alto, CA)
- …one simple reason: everyone can be curious. Perplexity is looking for a Software Engineer to build the core infrastructure that powers agentic products across ... verify at scale. Responsibilities Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool calling interfaces,… more
