Founding Machine Learning Engineer (AI)

Founding Machine Learning Engineer

Conditions

Posted Date Jul 01, 2026 Employment Type Full-time Experience Level Mid-Senior level Location San Francisco Bay Area Annual Salary 138,550 - 187,450 USD Category ** Machine Learning ** Company **Stealth Startup

Founding Machine Learning Engineer

We're hiring our Founding Machine Learning Engineer (MLE) with expertise in Agent Development and Time-Series Modeling. You'll play a foundational role in building production-grade systems that combine the power of LLM-powered agents with time-series foundation models. The Role 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. Job Description:

• 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
• Apply and extend time-series modeling techniques (forecasting, anomaly detection, multimodal fusion) in real-world customer scenarios
• Operate end-to-end: from data ingestion and preprocessing to deployment, monitoring, and continuous improvement Looking to advance your Machine Learning & AI career with relocation support? Explore Machine Learning & AI Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
• 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

What we're looking for:

• Proven industry experience (4-10 years) as an ML Engineer, Research Engineer, or Applied Scientist, with a track record of shipping production ML systems
• Hands-on expertise in LLM-powered agents: multi-step reasoning, tool use, context windows, autonomous workflows, agent memory
• Deep understanding of agent evaluation techniques (reliability, safety, success metrics)
• Up-to-date with modern agent infrastructure and frameworks (MCP, A2A, etc.)
• Fluency with ML engineering best practices: reproducibility, monitoring, scaling, CI/CD, observability Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
• Comfort operating in a fast-paced startup: shipping quickly, making tradeoffs, and thriving in ambiguity

Nice to have:

• 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

Location & Sponsorship

• Location: San Francisco Bay Area, CA (in-person)
• Visa Sponsorship: H1-B, O1

Показать контакты