Staff Machine Learning Engineer, Multimodal Modeling
Tasks
- Automate training evaluation testing and model release
- Build evaluation methods for embedding quality and retrieval metrics
- Customize model architectures and training loops
- Design and implement loss functions and data pipelines
- Develop contrastive learning and vector similarity evaluation
- Fine tune and extend multimodal models
- Improve model performance and cross modal alignment
- Lead multimodal embedding based retrieval system development
- Own long term model and system maintenance
- Unify text and image representations
Perks/Benefits
- Caregiver support
- Company holidays
- Criminal Justice Information Services CJIS certification required
- ERGs
- Fertility benefits
- Flexible PTO
- Fully paid medical/dental/vision
- HSA match
- Home office stipend
- Paid parental leave
- Productivity stipend
- Work from home stipend
Skills/Tech-stack
Bash | Computer Vision | Contrastive Learning | Data pipeline | Distributed Training | Embedding-based retrieval | Faiss | Fine Tuning | GPU Training | Git | Knowledge Distillation | Language Processing | Loss Function | Machine Learning | Model Compression | Multi-GPU | Multi-GPU Training | Multimodal Alignment | Multimodal Learning | Natural Language | Natural Language Processing | Pinecone | Pruning | PyTorch | Python | Quantization | Recommendation Systems | Representation Learning | SQL | Vector Database | Vector similarity | Weaviate
Education
N/A
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