Research Staff (LLMs)

TL;DR

Research Staff (LLMs): Developing and optimizing large language models with an accent on transformer architecture, distributed large-scale training, and reinforcement learning. Focus on designing experimental programs, scaling proofs-of-concept, and integrating AI into voice AI products.

Location: Remote (US), Ann Arbor, MI, San Francisco, CA

Salary: $150K–$250K

Company

hirify.global is a leading voice AI platform specializing in speech-to-text, text-to-speech, and speech-to-speech technologies, serving over 400 enterprise customers with advanced AI-driven solutions.

What you will do

• Collaborate with research staff to define new LLM research initiatives
• Survey and distill current literature and methods in LLMs
• Design and execute experimental programs for LLMs
• Manage transformer training jobs on distributed compute infrastructure and deploy models to production
• Document and present complex technical results clearly
• Stay updated on advances in deep learning and LLMs relevant to products

Requirements

• Location: Must be based in the US or able to work remotely within US time zones
• 3+ years applied deep learning research experience with neural networks and loss mechanisms
• Proven experience with LLMs including data curation, distributed training, transformer optimization, and reinforcement learning
• Strong Python and PyTorch coding skills
• Experience with various transformer architectures and distributed computing
• Ability to conduct experimental programs and optimize models based on results

Nice to have

• Deep understanding of transformers, causal LMs, and architecture
• Knowledge of distributed training and inference schemes for LLMs
• Familiarity with RLHF labeling and training pipelines
• Up-to-date knowledge of recent LLM techniques
• Published papers in deep learning research related to LLMs

Culture & Benefits

• AI-first mindset with emphasis on creative and effective AI use
• Rapidly evolving work environment aligned with AI advancements
• Equity and bonus compensation offered
• Equal opportunity employer with inclusive culture
• Remote work flexibility within US