Machine Learning Engineer

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, choosing the right level of complexity for the problem at hand.

Deploy and scale for inference. Take models from notebook to production. optimizing for latency, cost, and reliability at scale.

Evaluate and close the loop. Design evaluation frameworks that actually measure what matters, and build learning loops.

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.

Health insurance for you and your family, meals at office on us, travel reimbursement, unlimited leaves, gym membership, unlimited learning & development, flexible work schedule and a world-class team to learn and grow with!

From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US.

To learn more about us - please visit the following:

Our Story - https://www.prodigaltech.com/our-story

What shapes our thinking - https://link.prodigaltech.com/our-thesis

Our website - https://www.prodigaltech.com/