Delphina seeks a Machine Learning Engineer to drive product direction and automate ML workflows. Key responsibilities include transforming research into practical solutions, collaborating with customers, and building production prototypes. The role emphasizes software engineering skills, a growth mindset, and a focus on continuous improvement.

As a ML Infrastructure Engineer, you will develop platforms for executing ML jobs, create solutions for data orchestration, define integration models for application testing, and influence technology use among cross-functional teams.

As an Applied Scientist at Delphina, you will automate ML workflows by transforming research into production-ready solutions, partnering with customers to ensure their success, and working independently to innovate and improve the product. You'll also engage in feature engineering, deep learning, and production ML use cases, contributing to the direction and outcomes of the team.

Join Delphina as a Data Infrastructure Engineer to develop solutions for managing large data volumes through ingestion and transformation, simplify ML job processes, and lead cross-functional initiatives to standardize technologies. You will drive critical technical decisions and collaborate closely with product development.

The Chief of Staff at Delphina will support the founders by providing strategic insights, driving clarity in various business areas like product and sales, and ensuring alignment with company goals. This role involves solving ambiguous problems, tracking AI trends, and influencing company culture.