Applied AI/ML Engineering Intern

March 14

Heretic Ventures

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Heretic is a venture studio that founds new businesses in the creator economy, including blockchain / NFT businesses.

2 - 10

Description

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

Requirements

• Currently enrolled in a Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Artificial Intelligence / Machine Learning, or a related field • Prior professional experience working on applied AI projects, preferably in a product development or research environment • Strong knowledge of Python and familiarity with Linux with experience in popular machine learning libraries (e.g., TensorFlow, PyTorch) • Solid understanding of machine learning concepts and algorithms • Experience with training and fine-tuning AI models and working with large-scale datasets • Proficiency in data preprocessing, feature engineering, and exploratory data analysis • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with deploying AI models in cloud-based environments • Excellent problem-solving and analytical thinking skills, with a strong attention to detail • Effective communication and teamwork abilities, with the capacity to work in a fast-paced, collaborative environment

Benefits

• Part-time hybrid or remote role • Compensation with salary