MTS, Infrastructure Engineer

The role

You will develop platforms to enable scientists, researchers, and developers to run ML jobs at scale. You will also develop solutions to orchestrate and support massive quantities of data through various stages.

What you will do

• Develop platforms that enable scientists, researchers, developers to run ML jobs easily and quickly at scale
• Develop solutions that will orchestrate and support massive quantities of data through stages like ingestion, indexing/mining, transformation, machine learning, online deployment
• Define a consistent continuous integration/deployment model
• Influence and lead cross-functional initiatives to align the team towards commonly used technologies and methodologies
• Partner closely with the early team on product direction and drive critical technical decisions

Required qualifications

• Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java)
• Knowledge about what it takes to deploy and operate high availability production systems in the cloud
• Experience designing service-oriented architectures and leveraging various data store technologies
• Energy and ambition to build a product that is surprisingly good in surprising ways
• Intrinsic desire to always be improving our product and yourself

Nice to have

• Experience working directly on machine learning models
• Experience leading cross functional teams through 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

About the company

Delphina is an AI Agent for Data Science that leverages generative AI, large scale optimization, and specialized infrastructure to automate tasks to build ML models. The team has previously led large data science and machine learning teams and built startups.