Machine Learning Intern

Ema is building next-generation AI to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee.

We’re founded by ex-Google, Coinbase, and Okta executives and serial entrepreneurs. Backed by top-tier investors and angels, we’re based in Silicon Valley and currently in stealth mode.

You’re a passionate and ambitious engineer who’s already had some hands-on industry experience (2+ years preferred) and is eager to apply your skills in a real-world, high-impact environment. You’re comfortable writing production-level code, curious about state-of-the-art machine learning techniques, and excited about shaping the future of AI in the enterprise.

You love solving hard problems, especially those at the intersection of ML, systems, and language. You’re motivated by impact and are excited to join a tight-knit, fast-moving team where you’ll learn quickly and contribute meaningfully from day one.

• Work alongside senior ML engineers to research, build, and deploy machine learning models across NLP, retrieval, ranking, and reasoning.

• Prototype and experiment with LLM-based architectures and agentic systems.

• Help process and analyze large-scale structured and unstructured datasets.

• Build data pipelines, contribute to model training and evaluation, and participate in the deployment of models in production.

• Assist with validation experiments such as A/B testing and other evaluation methods to ensure robustness and reliability.

• Collaborate closely with cross-functional teams and participate in technical discussions and code reviews.

• 2+ years of industry experience in a software engineering, data science, or ML role (full-time or internship).

• Strong coding skills in Python and experience with ML frameworks like PyTorch or TensorFlow.

• A solid foundation in data structures, algorithms, and software engineering principles.

• Exposure to NLP, deep learning, reinforcement learning, or retrieval systems.

• Experience working with real-world data, and comfort with SQL and data processing pipelines.

• Curiosity about MLOps, cloud infrastructure, and scaling ML models.

• A collaborative mindset, eagerness to learn, and the ability to thrive in a fast-paced environment.

• Working knowledge of LLM training or fine-tuning.

• Experience deploying models into production or contributing to shipped ML products.

• Familiarity with GCP, Azure, or other cloud platforms.

• Interest in startup culture and building 0→1 systems.

This is a rare opportunity to work at the frontier of AI, alongside world-class founders and engineers, and contribute meaningfully to a product that could change how enterprises operate. You’ll be treated as a core member of the team—given ownership, mentorship, and the chance to turn this internship into a long-term opportunity.