Speech & Audio ML Research Engineer

Hume AI; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Hume AI is seeking a Research Engineer to develop speech-language and audio models, train at scale, and rigorously evaluate methods. You will work with the research team to turn questions into experiments, train and refine models, and build software that supports distributed training, inference, and benchmarking.

You will collaborate with customer teams to align research objectives with real-world data and ensure reproducible, high-quality results across in-house and client projects.

Qualifications

• At least two years of experience contributing to model training or fine-tuning with large-scale datasets (text, audio, image, or video).
• Strong Python and PyTorch skills, including developing, debugging, and maintaining training and evaluation code.
• Experience writing robust research systems that go beyond notebooks or prototypes.
• Strong experimental judgment: baselines, evaluations, and careful interpretation of results.
• Evidence of research ability via publications, model releases, or substantive open-source work.
• Comfort iterating quickly on uncertain directions and owning open-ended technical problems.

Responsibilities

• Investigate research questions in speech-language, audio, and multimodal ML; design experiments to test hypotheses.
• Train, fine-tune, validate, and further develop models in-house and for customer projects.
• Build reliable software for distributed model training, inference, and benchmarking; ensure reproducibility.
• Develop data workflows for large-scale datasets used in training and evaluation.
• Design evaluation protocols and benchmarks to measure quality, generalization, and robustness.
• Analyze datasets, model outputs, and failures to guide next steps in development.
• Collaborate with customer teams to define questions, understand data, and conduct training/evaluation.
• Document experimental designs, results, and technical decisions for reproducibility.

Skills

Python

PyTorch

Model training

Experimentation

Multimodal ML

Distributed systems

Research publications

Tools

Git

Jupyter

Linux

Job description

Hume AI is seeking a Research Engineer to develop speech-language and audio models, train at scale, and rigorously evaluate methods. You will work with the research team to turn questions into experiments, train and refine models, and build software that supports distributed training, inference, and benchmarking.

You will collaborate with customer teams to align research objectives with real-world data and ensure reproducible, high-quality results across in-house and client projects.