Latest ML Engineering jobs at Ema

Six-month remote internship for final-year Computer Science students working across AI and data engineering. Residents develop and evaluate machine learning models, build backend and data pipelines, and analyze large datasets while receiving mentorship and a monthly stipend.

Measures and improves healthcare AI agents in production by instrumenting performance, diagnosing quality issues, and designing experiments with clinical experts. The role requires Python, analytical judgment, comfort with ambiguity, and interest in healthcare.

Leads the architecture, roadmap, and production execution of GenAI and agentic machine-learning systems at enterprise scale. The role requires 10–12+ years of applied ML experience, expertise in retrieval and large-scale systems, and the ability to mentor senior technical teams.

Develops and deploys ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, 2+ years experience with production ML, deep NLP expertise, Python, and frameworks like PyTorch/TensorFlow.

Leads development and deployment of ML models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. Requires Master's/PhD, production ML experience, deep NLP expertise, Python proficiency, and MLOps knowledge in a fast-paced startup.