Senior Machine Learning Engineer (Magnet-Griffeye)
Tasks
- Build research infrastructure
- Collaborate cross-functionally
- Design ML/AI models
- Develop datasets
- Ensure ethical AI practices
- Lead experiments
- Mentor engineers
- Prototype workflows
- Stay updated on ML/AI research
Perks/Benefits
- Competitive pay
- Generous time off
- Healthcare
- Recognition programs
- Retirement benefits
- Volunteer opportunities
Skills/Tech-stack
AI ethics | AWS | Azure | CI/CD | Cloud Computing | Computer Vision | Data Preprocessing | Deep learning | Embedding Models | Experiment design | Experiment tracking | Feature Engineering | Language Models | Large Language Models | ML frameworks | MLOps | Model Deployment | Model Evaluation | Multi-step reasoning | NLP | Open Source | Open Source ML | Prompt engineering | PyTorch | Python | Reproducibility | Research Publications | Retrieval-Augmented Generation | TensorFlow | Tool-Calling | Vector Databases | Versioning
Education
Bachelor's | Computer Science | Engineering degree | Machine Learning | Master's | Related Technical Fields
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