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Interns will craft narratives, develop social media strategies, assist with media outreach, and contribute to Shape Pathway's brand in AI communications.

The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

As an AI Benchmark & Datasets Engineer Intern, you'll identify and curate benchmarks, evaluate clarity and data quality, run validations, and maintain documentation for model evaluation.

As an AI Benchmark & Dataset Engineering intern, you will support benchmarking processes for model evaluation, curate benchmarks, run and validate tests, maintain documentation, and contribute to demos based on outcomes.

Design and execute benchmarks, curate datasets, evaluate benchmarks, and build evaluation infrastructure for AI model assessment while collaborating with R&D.

The intern will support benchmarking processes for model evaluation by curating benchmarks, running evaluations, documenting results, and contributing to public demos, influencing AI development at Pathway.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Support training and benchmarking of LLMs, evaluate datasets, and assist the Pathway Research Team to advance AI capabilities.

Develop and execute a developer relations strategy, foster community engagement, create content, and collaborate with product teams to optimize developer experience and adoption of Pathway's product.