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Accelerate the development of AI applications by building complex agents for enterprises around the world through the Scale Generative AI Platform.

Requirements

• At least 1-3 years of model training, deployment and maintenance experience in a production environment
• Strong skills in NLP, LLMs and deep learning
• Solid background in algorithms, data structures, and object-oriented programming
• Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Experience in dealing with large scale AI problems, ideally in the generative-AI field
• Demonstrated expertise in large vision-language models for diverse real-world applications
• Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.

Responsibilities

• Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.
• Work with product and research teams to identify opportunities for ongoing and upcoming services.
• Explore approaches that integrate human feedback and assisted evaluation into existing product lines.
• Create state of the art techniques to integrate tool-calling into production-serving LLMs.
• Work closely with customers to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems.

Other

• PhD or Masters in Computer Science or a related field
• Strong written and verbal communication skills to operate in a cross functional team environment
• Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO