Machine Learning Engineer

SENIOR ML ENGINEER | BUILD GLOBAL AI NETWORKS | HYBRID SF | $300k + EQUITY My client is building a unique, globally distributed system that harnesses spare computational resources from around the world to run cutting-edge models like Llama and Mistral. We're searching for an ML engineer excited about solving complex engineering challenges within a small, high-impact team based in San Francisco.If you're passionate about working on advanced distributed systems, machine learning, and resource optimization, this could be a great opportunity. The team consists of experienced engineers who thrive in a dynamic, fast-paced environment, with a focus on creativity, collaboration, and hands-on coding.We are looking for Senior-Staff level engineers or ex-founders, who are high agency, high throughput, very technical people who WANT to be in person working on interesting problems.Salary: $200-300k + equityInterview process: 4 stagesLocation: SF (hybrid 3 days a week)What were looking **Proficient in Typescript, Python, and at least one of Go, Rust, or C++Deep understanding of distributed systems and their underlying principlesHands-on experience with container orchestration and scheduling tools, such as Kubernetes or NomadExperience with large language model inference engines (e.g., vLLM, TensorRT-LLM)Familiarity with AI development tools (e.g., ChatGPT, Claude, Cursor) to enhance productivity and workflowKnowledge of GPU programming and optimization techniques (CUDA experience is advantageous)This client can support H1B visa transfers for candidates who require it.**Python, Typescript, Rust, Go, C++, ML, Machine Learning, AI, GenAI, LLM, GPU, Inference

Created: 2025-02-19