Applied ML Engineer - Content Developer (Optimization & Foundations)

Jala University is an innovative initiative designed to bridge the gap between academia and industry by delivering practical education tailored to industry needs, with a unique educational model integrating experts from both academia and industry.
Our goal is to transform the economies of underserved regions through the software industry, creating professional opportunities that impact individuals, communities, and regions, while leaving a lasting legacy for future generations
Requirements

5+ years shipping production software, including 2+ years in production AI/ML

Able to implement optimizers from first principles (not by calling a framework's built-in optimizer) and instrument gradient flow, learning-rate schedules, and regularization diagnostics

Working fluency in probability and information theory (likelihood, entropy, KL divergence)

Able to personally build a course artifact to production standard, including an instrumented optimizer and analytical brief

Hands-on with Python, NumPy, scikit-learn, PyTorch (basics through autograd/custom optimizer loops), Jupyter, Docker, one cloud VM (AWS/GCP/Azure), Weights & Biases, Modal (CPU + T4/A10), matplotlib

Public writing samples showing technical explanation (docs, workshop material, book chapter, or open-source project known for its docs), including ability to write to publication standard

Reproducibility discipline (pinned dependencies, containers, seeded runs, documented decoding parameters)

Professional written English

Benefits

Remote work modality (home office).

Joining a dynamic and growing organization with international reach.

Originally posted on Himalayas