Latest ML Engineering jobs at Hive

Develop, deploy, and optimize production-scale ML models using deep learning frameworks like PyTorch/TensorFlow. Requires 5+ years experience, expertise in Python, distributed systems, and focus areas like computer vision or NLP.

Develops, deploys, and optimizes state-of-the-art ML models for production at scale, handling terabyte datasets and neural networks. Requires 8+ years experience, expertise in PyTorch/TensorFlow/Python, and focus in CV/NLP.

Develops, trains, deploys, and optimizes deep learning models for production use cases involving large datasets. Requires 1-2 years ML experience, Python proficiency, and familiarity with ML frameworks like TensorFlow or PyTorch.