Software Engineer, Pre-Training/AI - Remote

Overview

As a Software Engineer focused on AI Pretraining at Eventual, you will work at the intersection of AI research and scalable system development, implementing advanced dataset and model training techniques.

In Short

• Build model pretraining pipelines using state-of-the-art data techniques.
• Design and define benchmarks for AI data workloads.
• Collaborate with the data engine team to optimize the Daft data engine.
• Incorporate the latest advancements in AI research into the platform.
• Strong programming skills in Python required.
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Understanding of transformer architectures and self-supervised learning.
• Experience with distributed training frameworks is a plus.
• PhD or equivalent research experience preferred.
• Flexible hybrid work environment with in-person collaboration.

Requirements

• Strong programming skills in Python.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Deep understanding of transformer architectures and AI model training techniques.
• Experience with distributed training frameworks.
• Expertise in data pipelines and large-scale dataset management.
• Familiarity with ML compilers and GPU acceleration is a plus.
• Familiarity with systems programming (Rust, C++) is a plus.
• PhD or equivalent research experience in relevant fields preferred.

Benefits

• Work alongside experts in distributed computing and AI research.
• Build scalable AI infrastructure and training techniques.
• Competitive salary, equity, and top-tier benefits.
• Collaborative, engineering-driven environment.