Machine Learning Engineer, Data Mining
Pittsburgh, Pennsylvania, United States; Remote U.S.
R
USD 144K-192K Senior-level Full Time
Tasks
- Apply optimization techniques for production inference
- Build and train machine learning pipelines
- Build dashboards to monitor model health and data drift
- Develop embedding based search tools
- Fine tune machine learning models for multimodal sensor data
- Follow software engineering standards including version control CI CD and unit testing
- Identify regressions and support data mining services
- Implement active learning workflows
- Implement supervised learning and self supervised learning
- Participate in code reviews and contribute technical documentation
- Support data preprocessing and augmentation pipelines
Perks/Benefits
- 401k match
- Dental insurance
- Health savings account
- Life insurance
- Medical insurance
- Pet insurance
- Remote work option
- Vision insurance
Skills/Tech-stack
Active Learning | Batch inference | CI/CD | Data Augmentation | Data Curation | Data Drift | Data Preprocessing | Embedding Models | Feature Engineering | Inference Server | JAX | MLOps | Machine Learning | Model Evaluation | Model Serving | NumPy | Pandas | PyTorch | Python | Quantization | Representation Learning | SQL | Self-Supervised Learning | Self-supervised | Supervised Learning | TensorFlow | TensorFlow Serving | Torchserve | Triton Inference | Triton Inference Server | Unit Testing | Version control
Education
Regions
Countries
States
Cities
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