Help build and optimize the machine learning infrastructure powering Corvic's Intelligence Composition Platform. You'll work on multimodal reasoning, embedding models, and the core AI systems that make our platform uniquely powerful.
Responsibilities
- Design, train, and deploy ML models for multimodal data understanding
- Build and optimize inference pipelines for production workloads
- Collaborate with research and platform teams to productionize novel techniques
- Develop evaluation frameworks and benchmarks for model performance
- Contribute to Corvic's Mixture of Spaces (MoS™) technology
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
- Strong Python programming and ML framework experience (PyTorch, TensorFlow)
- Experience deploying ML models in production environments
- Understanding of NLP, embedding models, and retrieval systems
- Familiarity with cloud ML infrastructure (GCP Vertex AI, AWS SageMaker, etc.)
Nice to Have
- Experience with graph neural networks or knowledge graphs
- Published research in ML, NLP, or related fields
- Experience with LLM fine-tuning and prompt engineering
- Background in multimodal learning
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