Senior Machine Learning Engineer
McLean, Virginia, United States
USD 172K-270K (estimate) Senior-level Full Time
Tasks
- Build and maintain machine learning data pipelines
- Design machine learning architectures
- Document experiments results and design decisions
- Evaluate model performance
- Implement data augmentation strategies
- Integrate machine learning models into production systems
- Mentor junior engineers
- Optimize models for accuracy and computational cost
- Perform feature engineering and preprocessing
- Provide architectural guidance for machine learning systems
- Research machine learning approaches
- Train tune debug machine learning models
Perks/Benefits
- 401k matching
- Company-paid Short Term Disability
- Company-paid basic life insurance
- Company-paid long term disability
- Employee assistance program
- Extended holiday schedule
- Flexible work schedule
- Floating holiday schedule
- Hybrid work schedule
- Medical/Dental/Vision insurance
- Mental health support
- Mentorship
- Paid time off
- Paid volunteer time
- Professional development programs
- Training reimbursement
Skills/Tech-stack
Adversarial Networks | Bias Variance | Bias-Variance Tradeoff | Chunking | Computational Cost Optimization | Cost Optimization | Data Augmentation | Data Pipelines | Data Preprocessing | Decision Trees | Deep learning | Distributed Training | Ensemble Methods | Experiment tracking | Feature Engineering | Genetic Algorithms | Loss Functions | MLflow | Machine Learning | Model Debugging | Model Evaluation | Neural Networks | Optimization | Overfitting | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | Supervised Learning | System design | TensorFlow | Token budgeting | Transformers | Unsupervised Learning | Weights & Biases
Education
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