Deep Learning Engineer

Dyneti is an innovative startup that has developed DyScan, a sophisticated software library enabling digital merchants to combat fraud and enhance conversion rates through credit card photo scanning technology. Founded by a former Uber fraud prevention expert, the company has secured funding from prestigious investors including Y Combinator and has successfully processed hundreds of millions of credit card scans globally, serving Fortune 100 companies and rapidly growing tech unicorns.

As a Deep Learning Engineer, you'll join Dyneti's founding engineering team, working directly with the CEO to develop and implement new features and products in the deep learning space. This role offers significant ownership and autonomy in building user-facing products that have real-world impact. The position requires strong expertise in deep learning and Python programming, with the ability to transform academic research into practical, market-ready solutions.

The ideal candidate should have either 2+ years of deep learning experience or a PhD in a STEM field, demonstrating both technical expertise and practical problem-solving abilities. You'll be working in a fast-paced environment where quick iteration and product-focused development are key. This is an excellent opportunity for someone who wants to make a significant impact in the intersection of AI and financial technology, working with cutting-edge deep learning technologies while building products used by major global companies.

The role offers a hybrid work arrangement based in San Mateo, providing flexibility while maintaining collaborative opportunities with the team. Join Dyneti to be part of a growing startup that's revolutionizing the digital payment security landscape with innovative AI solutions.