Research Engineer
Research Engineer working on frontier audio AI models, including training, post-training, data curation, architectural improvements, and rigorous evaluation. Requires at least 3 years of AI experience and evidence of solving challenging machine learning problems through projects or research.
About the job
Responsibilities
- Train state-of-the-art models across modalities.
- Improve existing models through post-training, data curation, architectural improvements, and novel training paradigms.
- Design rigorous benchmarks and evaluations to determine whether model iterations improve and why.
Requirements
- 3+ years of experience in AI, emphasizing implementation, training, and improvement of machine learning models.
- Demonstrated ability to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work.
- Experience conducting exploratory research to improve the quality of gathered data.
- Evidence of solving difficult problems through artifacts such as past projects, designs, or GitHub contributions.
Benefits
- Annual discretionary professional development stipend.
- Annual discretionary stipend for social travel with colleagues.
- Annual company offsite.
- Monthly co-working stipend for employees not near a main hub.
Skills
Artificial Intelligence, Machine Learning, Model Training, Post-Training, Data Curation, Model Evaluation, Benchmarking, Machine Learning Research, Data Quality, GitHub
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