Founding Full Stack Engineer

About Delphina Today’s Data Scientists are in pain - spending their time manually wrangling data, building models through slow trial and error, taking on painstaking rewrites for deployment, and dealing with countless other frustrating bottlenecks. And the tools they are using for much of this work – e.g. Jupyter notebooks and Pandas – are over a decade old. We founded Delphina to change this: our mission is to help the world get better at using data to understand the present and predict the future. Delphina leverages a combination of generative AI, large scale optimization, and specialized infrastructure to automate the time-consuming but necessary tasks to build powerful ML models quickly; Delphina will identify relevant data, clean it, train models, and even productionize pipelines. Our team has previously led large data science and machine learning teams (covering both applications and infrastructure), built startups, and created successful tools for enterprise ML. This role is based in San Mateo, CA. We are in person 2 days per week and offer relocation assistance to new employees. In select cases we also offer remote options. What you’ll do We're looking for an experienced FullStack Engineer to join as a founding team member of Delphina. As one of our key early hires, you will partner closely with our early team on the direction of our product and drive critical technical decisions. You will have broad impact over the technology, product, and our company's culture. You will be responsible for developing, manage, and test web applications and REST APIs What we’re looking for A good understanding of design, attention to detail, engineering discipline, and strong sense of product ownership An ability to build tools to process and manage data product interfaces and technologies Mature engineering practices, attention to detail and testing Comfort with technologies including React, Python, [and … ] High attention to detail, and who can abstract detail into framework level software solutions Energy and ambition to build a product that is surprisingly good in surprising ways. Intrinsic desire to always be improving our product and yourself. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done. Nice to haves Experience working directly on machine learning – either by partnering with scientists and engineers who are building models, or by building models yourself Experience in data and machine learning domains Experience leading cross functional teams solving ambiguous problems Benefits Equity in the company Medical, dental, and vision insurance 401k Unlimited PTO Top of the line Apple equipment Free lunch in the office twice a week