ML Engineer — AI Platform & Multimodal Inference

Corvic; Mountain View (CA); On-site; USD 110,000 - 145,000; Full time

Job summary

An innovative machine learning company in Mountain View is seeking a Machine Learning Engineer to build and optimize the infrastructure for its Intelligence Composition Platform. The role involves designing and deploying ML models for multimodal data understanding, optimizing inference pipelines, and collaborating with teams to productionize advanced techniques. A degree in Computer Science or a related field, strong Python skills, and experience with ML frameworks are required. Knowledge of NLP and cloud ML infrastructure is preferred.

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.).

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 Mixture of Spaces (MoS) technology.

Skills

Python programming

ML frameworks (PyTorch, TensorFlow)

Deployment of ML models

NLP understanding

Cloud ML infrastructure

Education

Bachelor's or Master's degree in Computer Science or Machine Learning

Job description

An innovative machine learning company in Mountain View is seeking a Machine Learning Engineer to build and optimize the infrastructure for its Intelligence Composition Platform. The role involves designing and deploying ML models for multimodal data understanding, optimizing inference pipelines, and collaborating with teams to productionize advanced techniques. A degree in Computer Science or a related field, strong Python skills, and experience with ML frameworks are required. Knowledge of NLP and cloud ML infrastructure is preferred.