Hiring: Founding Machine Learning Engineer Company: Stealth Startup Location: San Francisco Bay Area Job Posted Time: 2026-09-17 03:09:52 Target Skills & Keywords : CI/CD, Deep Learning, LLM, Machine Learning, Transformers About the job Experience: •4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems •10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems Required Skills: •This is not a narrow research role — you'll design, train, deploy, and monitor ML systems end-to-end, moving from prototype to production with speed and autonomy. You'll also be a core contributor to defining how agents interact with multimodal numerical data, a problem space where the playbook does not yet exist. •Design, train, and deploy production ML systems (LLM-powered agents + time-series models) •Build and scale LLM-powered agents with advanced capabilities: multi-step reasoning, tool integration, autonomous workflows, memory/context management, and adaptive strategies •Develop and refine evaluation frameworks for agents, ensuring reliability, safety, and measurable performance •Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement •Stay ahead of the curve on the latest innovations in AI agents, orchestration frameworks, and infrastructure (MCP, A2A, etc.) •Partner directly with researchers, engineers, and lighthouse customers to validate solutions and drive rapid iteration •Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems Qualifications: •Experience training custom neural networks beyond pre-trained LLMs (e.g., transformers for time-series or multimodal data) •A background in time-series modeling (forecasting, anomaly detection, classical + deep learning approaches) •Published research or open-source contributions in ML/AI •San Francisco Bay Area, CA Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!