Corvic

4 jobs near Columbus, OH

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 ...

New

Mountain View, CA Summer 2026 Internship $120K - $150K annualized Join Corvic's AI team for a summer internship working on cutting-edge machine learning systems. You'll contribute to building the ...

New

Mountain View, CA Summer 2026 Internship $110K - $140K annualized Join Corvic's platform team for a summer internship building the backbone of our Generative AI Intelligence Composition Platform. You ...

New

Join Corvic's platform team to build the backbone of our Generative AI Intelligence Composition Platform. You'll design and develop the core services that power enterprise-grade AI applications ...

New

ML Engineer, AI Platform

Corvic

Mountain View, CA • On-site

$110 - $145/hr

Other

Posted 2 days ago

New


Job description

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
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