Principal Machine Learning Engineer

The role

You will lead the technical direction of GenAI and agentic ML systems. You will architect large-scale ML systems and shape the machine learning roadmap for Ema's AI agents.

What you will do

• Lead the technical direction of GenAI and agentic ML systems.
• Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval, agent orchestration, and evaluation.
• Define and own the multi-year ML roadmap for GenAI infrastructure.
• Identify and integrate cutting-edge ML methods and research into products or infrastructure.
• Research, prototype, and integrate cutting-edge ML and LLM advancements into the platform.
• Optimize trade-offs between accuracy, latency, cost, interpretability, and reliability.
• Champion engineering excellence through observability, reproducibility, versioning, testing, and bias-aware development.
• Mentor and elevate senior engineers and researchers.
• Collaborate cross-functionally with product, infra, and research teams.
• Influence data strategy regarding retrieval indices, embeddings, and feedback loops.

Required qualifications

• Bachelor’s or Master’s (or PhD) degree in Computer Science, Machine Learning, Statistics, or a related field.
• 10-12+ years of applied experience with ML techniques, especially in large-scale settings.
• Experience building production ML systems that operate at scale.
• Experience in Knowledge retrieval and Search space.
• Exposure in building Agentic Systems and Frameworks.
• Proficiency in relevant programming languages (e.g. Python, C++, Java) and ML frameworks (TensorFlow, PyTorch, etc.).
• Strong understanding of the full ML lifecycle: data pipelines, feature engineering, model training, serving, monitoring, maintenance.
• Experience designing systems for monitoring, diagnostics, logging, model versioning, etc.
• Deep knowledge of computational trade-offs: distributed training, inference, optimizations (e.g. quantization, pruning, batching).
• Excellent communication skills.
• Experience mentoring senior engineers; ability to lead technical discussions and influence across orgs.

About the company

Ema builds AI Employees for HR, IT and Finance. The company is headquartered in Silicon Valley with offices in London, Bangalore and Vancouver.