ML Engineer
Tasks
- Automate evaluation workflows
- Build offline and live evaluation pipelines
- Create privacy aware dataset curation tooling
- Deploy machine learning models to production
- Design evaluation metrics for user satisfaction
- Implement monitoring and regression detection
- Optimize latency throughput and cost
- Scale training and inference for large language model workloads
- Train and fine tune voice and multimodal models
- Version and manage datasets
Perks/Benefits
- 401k employer match
- Employee assistance program
- Employer paid dental insurance
- Employer paid vision insurance
- Employer-paid health insurance
- Flexible spending account
- Sick time
- Stock options
- Unlimited PTO
Skills/Tech-stack
Cost Optimization | Data Curation | Dataset versioning | Evaluation Frameworks | Fine Tuning | LLM Inference | Language Models | Large Language Models | Latency optimization | Learning operations | Machine Learning | Machine Learning Operations | Model Fine-tuning | Model Training | Monitoring | Multimodal Learning | Privacy | PyTorch | Python | Speech Processing | Throughput Optimization
Education
N/A
Regions
Countries
States
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