March 16
🏢 In-office - San Francisco
• Hit the ground running and take ownership of strategic accounts with iconic customers. • Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner. This includes model vetting, pilot development, and production implementation. • Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions. • Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality. • Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results • Stay up-to-date with AI and ML trends, and leverage your practical experience with Large Language Models (especially OpenAI's) to responsibly evaluate their trade-offs and bring innovative solutions to our customers. • Continuously improve solution design and implementation processes, incorporating feedback and lessons learned from previous projects.
• Bachelor's degree in Computer Science, Mathematics, or related fields. • At least 3 years of experience as a software engineer or machine learning engineer. • Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products. • An obsession with thorough AI/ML evaluation to create reliable applications. • Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas). • Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD). • Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP). • Strong communication and collaboration skills.
• Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity. • Opportunity to own $Xm+ accounts with some of the most iconic institutions, and drive transformative outcomes. • Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space. • Competitive salary and benefits package, including equity options. • Collaborative and supportive work environment, with a strong focus on personal and professional growth. • Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities. • Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.
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