Principal Machine Learning Engineer
ABOUT EMA
Ema is building the next generation of AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary platform enables companies to delegate repetitive tasks to Ema, the Universal AI Employee—a powerful, secure, and intelligent teammate that integrates across workflows and systems.
We’re founded by executives from Google, Coinbase, and Okta, and backed by the world’s top investors and angels. Headquartered in Silicon Valley and Bangalore, Ema operates as a hybrid team. For this role, we expect team members to work from the office three days a week.
ROLE OVERVIEW & KEY RESPONSIBILITIES
This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels.
RESPONSIBILITIES
- Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products.
- Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning.
- Define and own the multi-year ML roadmap for GenAI infrastructure — including agent frameworks, RAG systems, world-class evaluation loops, and integration with MCP, browser, and vision pipelines.
- Identify and...