Applied Compute
Applied Compute builds enterprise AI systems that turn internal knowledge into custom models and deployable agent workforces. Its platform and forward-deployed teams create evals, train models on proprietary data, and run continually learning agents inside customer environments. The company is privately held and headquartered in San Francisco, serving enterprises that want in-house, domain-specific AI rather than generic foundation models.
Open Positions at Applied Compute
7 open positions
Build AI agents, data infrastructure, and internal software that power Applied Compute’s go-to-market engine. You’ll own systems from problem definition through production while improving pipeline, conversion, and operational efficiency.
Build the full-stack platform, SDK, and user experiences that power collaborative human-AI workspaces and agent development. This San Francisco-based role focuses on turning frontier AI research capabilities into polished products for internal teams and customers.
Applied Compute is seeking a Platform Security Engineer to secure its AI platform, autonomous agents, customer deployments, and sensitive enterprise data. The role combines security architecture, offensive testing, incident response, automation, and AI-native defense.
Platform Research Engineer focused on making Applied Compute’s platform more intelligent through continual learning, reinforcement learning, synthetic environments, data systems, and multi-agent research. The role connects applied research and AI product engineering to turn customer deployment learnings into scalable platform capabilities.
Research Systems Engineer developing continual-learning methods and training frontier-scale language models in enterprise environments. The role combines frontier AI research, reinforcement learning, large-scale experimentation, and high-performance training systems.
Research Scientist focused on building and optimizing large-scale reinforcement learning training infrastructure for frontier models. The role combines distributed GPU systems, observability, performance optimization, and reliable production deployment.
Own customer engagements end-to-end by understanding enterprise data and workflows, then building, training, and deploying AI agents and custom models. The role combines applied AI research, customer-facing engineering, and contributions to the company’s general agent platform.