ML Engineer
Tasks
- Create tooling for privacy aware dataset curation and discovery
- Deliver production ready models with tests and dashboards
- Design evaluation pipelines for offline and live evals
- Monitor model quality and run live evaluations
- Prototype train and deploy voice machine learning models
- Scale training and inference for LLM class workloads
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Health insurance
- Stock options
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Cost Optimization | Data Versioning | Dataset Operations | Dataset curation | Eval Frameworks | Language Models | Language Processing | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | Throughput Optimization | Training pipelines
Education
N/A
Regions
Countries
States
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