Senior AI Research Engineer: Scalable Audio & SLM

Hume; New York (NY); Hybrid; USD 180,000 - 350,000; Full time

Job summary

Hume AI in New York City is hiring researchers and engineers to build state-of-the-art audio and language models. You'll develop software systems for distributed training, inference, and benchmarking, enabling large-scale experiments across text, audio, and video data.

You should be proficient in Python and PyTorch, write robust production code, and iterate quickly on new research directions. This role offers a chance to push RLHE-driven research and contribute to AI that aligns with human

Qualifications

• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch).
• Experience writing robust and maintainable production-ready code.
• Comfort iterating quickly on new and uncertain research directions.
• 2+ years of experience training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data.

Responsibilities

• Build software for distributed model training, inference, and benchmarking.
• Handle massive-scale data collection, storage, preprocessing, and analysis.
• Advance AI research problems at industry scale.

Skills

Python

ML libraries

Production code

Experimentation

Tools

PyTorch

Distributed training

Job description

Hume AI in New York City is hiring researchers and engineers to build state-of-the-art audio and language models. You'll develop software systems for distributed training, inference, and benchmarking, enabling large-scale experiments across text, audio, and video data.

You should be proficient in Python and PyTorch, write robust production code, and iterate quickly on new research directions. This role offers a chance to push RLHE-driven research and contribute to AI that aligns with human