Role overview
- Explore and experiment with state-of-the-art AI models and machine learning techniques, contributing to core product features powered by ML.
- Own projects end-to-end – from understanding problem requirements and designing experiments to building prototypes, iterating, and helping bring them into production.
- Collaborate with product, design, and engineering teams to translate user needs into ML-powered solutions.
- Dive deep into data, building an understanding of how to measure model performance and improve real-world outcomes.
- Stay curious and up to date with emerging ML research, applying learnings to improve our product and stack.
- Contribute to a culture of rapid experimentation, balancing scrappy prototypes with thoughtful iteration.
- Learn from senior engineers, while taking initiative to independently explore new approaches and technologies.
- Bring a strong ownership mentality – driving projects forward, unblocking yourself, and pushing ideas from concept to execution.
- Experienced leadership: Our leaders and advisors have lived this problem for over 20 years inside some of the world’s largest institutions. They bring both maturity and a proven understanding of how to create and maintain an efficient, professional work environment.
- Cutting-edge engineering: Our team pairs deep, modern AI expertise with imaginative thinking to design alignment-focused systems that feel fresh and forward-looking.
- Strong distribution: We have access to diverse channels that allow us to reach the right customers quickly and effectively.
- Defensible strategy: Our execution strategy is solid and validated, built to withstand competition from big labs, big tech, and other startups. With unique insights into how the underlying systems and processes work, we’re positioned to create experiences that are not just functional, but truly delightful.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Machine Learning Data Science Generative Ai Pytorch Tensorflow