Machine Learning Engineer, Model Evaluations (Speech LLM) - San Francisco
Tasks
- Build model evaluation harnesses
- Collaborate on LLM as a judge evaluation
- Debug mid training performance regressions
- Define speech LLM quality metrics
- Design automated and human evaluation workflows
- Develop training dashboards for model health
- Partner with ML researchers to define measurable benchmarks
- Run evaluations at scale on live model checkpoints
Perks/Benefits
- 401k matching
- Annual offsites
- Dental insurance
- Equipment stipend
- Health insurance
- Hybrid office
- Paid Holidays
- Paid parental leave
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Adversarial Data | CER) | Crowdsourcing | DPO | Data Pipelines | Distributed Systems | Evaluation | Experimental Design | Language Models | Language Processing | Large Language Models | MLflow | MOS | Machine Learning | Model Training | Natural Language | Natural Language Processing | Observability | Python | RLHF | Speech Recognition | Statistics | WER | Weights and Biases
Education
N/A
Regions
Countries
States
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