Machine Learning Engineer

About the role

Real problems, real models, real data. No toy datasets, no academic benchmarks — you'll work on problems that directly affect customers and the business. Frontier technology, applied. Learn to harness the latest in AI and put it to work on problems that matter. Smart people, fast shipping. Work alongside a sharp team, ship quickly, and grow faster than you would elsewhere.

What you'll do

• Understand the problem domain. Work closely with product, engineering, and customer-facing teams to turn ambiguous, real-world problems into well-scoped ML problems
• Curate datasets. Source, clean, and structure the data needed to train and evaluate models, often before any "off-the-shelf" dataset exists
• Train models across the full spectrum
• Build and train everything from simple classifiers to neural networks, transformers, and small/large language models
• Deploy and scale for inference. Take models from notebook to production. optimizing for latency, cost, and reliability at scale

What you need

• 2–5 yrs of experience
• Machine learning
• Python
• LLMs
• Prompt engineering
• Any graduate