Principal Machine Learning Engineer
Tasks
- Define machine learning strategy
- Deploy and manage model lifecycle
- Design build and scale production machine learning systems
- Design feature engineering and data pipeline strategies
- Establish model architecture and evaluation standards
- Evaluate and adopt new ML tools and best practices
- Implement enterprise MLOps for monitoring and governance
- Improve machine learning system performance reliability and scalability
- Lead development of complex machine learning solutions
- Mentor engineers and influence technical direction
- Partner with data scientists to productionize models
- Solve ambiguous technical problems through hands on development
Perks/Benefits
- 401k company match
- Company paid disability benefits
- Dental insurance
- ESPP
- Fertility benefits
- Financial wellness program
- Long-term disability
- Medical insurance
- Mental wellness program
- Paid Holidays
- Parental leave
- Pet insurance
- Short-term disability
- Sick leave
- Supplemental life insurance
- Unlimited vacation
- Vision insurance
Skills/Tech-stack
AWS | Agent systems | Airflow | Azure | Big Data | Data Pipelines | Distributed Systems | Feature Engineering | GCP | Golang | MLOps | Machine Learning | Model Governance | Model Monitoring | Multi-Agent | Multi-Agent Systems | PyTorch | Python | RAG | Retrieval-Augmented Generation | System design | TensorFlow | XGBoost
Education
N/A
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