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Heretic
Fall 2024 Applied AI ML Engineering Intern
atĀ Heretic
4 months ago | 245 views | 14 applications

Fall 2024 Applied AI ML Engineering Intern

Internship
San Francisco
Per year
$21,000 To $70,000

About the company

Backed by industry-leading entrepreneurs and investors, Heretic Ventures builds companies at the intersection of culture, commerce, and creators, with a focus on using disruptive technology, like AI, to gain widespread adoption and lasting competitive advantage.

Job Summary

Responsibilities

šŸ“Collaborate with cross-functional teams to train and fine-tune machine learning models and systems for consumer-focused ventures. šŸ“Build machine learning models for various generative AI applications, including text-to-image diffusion models, large language models, and other emerging generative AI. šŸ“Develop multi-model architectures to meet product & business requirements for new venture concepts. šŸ“Collect, preprocess, and analyze data to extract meaningful insights and improve the performance of AI models. šŸ“Deploy and maintain AI models in production environments, ensuring scalability, reliability, and efficiency. šŸ“Stay up-to-date with the latest advancements in AI technologies, contribute to research environment, and apply them to enhance the performance and capabilities of our ventures. šŸ“Communicate complex AI concepts and solutions effectively to both technical and non-technical stakeholders.

Qualifications

šŸ“Currently enrolled in a Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Artificial Intelligence / Machine Learning, or a related field. šŸ“Prior professional experience working on applied AI projects, preferably in a product development or research environment. šŸ“Strong knowledge of Python and familiarity with Linux with experience in popular machine learning libraries (e.g., TensorFlow, PyTorch). šŸ“Solid understanding of machine learning concepts and algorithms. šŸ“Experience with training and fine-tuning AI models and working with large-scale datasets.

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