Senior Machine Learning Research Engineer (AI)

TL;DR

Senior Machine Learning Research Engineer (AI): Designing and maintaining large-scale distributed training systems for LLMs and multi-modal models with an accent on performance optimization and efficient data pipelines. Focus on automating never-ending innovative discovery processes by building frontier scientific AI infrastructure.

Location: San Francisco, CA

Salary: $148,000 - $240,000

Company

hirify.global is a scientific superintelligence platform and autonomous lab applying AI to chemistry, materials, and life sciences to accelerate discovery.

What you will do

• Design and maintain large-scale distributed training infrastructure for LLMs and multi-modal models.
• Optimize training and optimization workflows including SFT, RL, and long-context processing.
• Orchestrate frontier LLMs alongside complex compute-intensive tools.
• Build scalable pipelines for data preprocessing and experiment orchestration.
• Develop system-level performance benchmarks and debugging utilities.

Requirements

• Proven experience with distributed ML training frameworks such as Megatron-LM, TorchTitan, DeepSpeed, or Ray.
• Strong software engineering skills with proficiency in Python.
• Deep understanding of large-scale model training techniques.
• Experience working in cloud or HPC environments.

Nice to have

• Contributions to C++ kernels.
• Prior work with scientific datasets or domain-specific modeling.
• Contributions to open-source ML frameworks.

Culture & Benefits

• Competitive base salary and bonus potential.
• Generous early-stage equity grants.
• Work at the intersection of AI research and scientific discovery.
• Equal opportunity employer committed to a diverse scientific team.