MTS Infrastructure Engineer

Join Delphina, a startup focused on revolutionizing machine learning infrastructure. As an MTS Infrastructure Engineer, you will play a key role in shaping the direction of our product and driving critical technical decisions. You will develop platforms for running ML jobs at scale, create solutions for data orchestration, and define a continuous integration/deployment model. You will also influence cross-functional initiatives and have a broad impact on our technology, product, and company culture. Benefits include medical, dental, and vision insurance, equity in the company, 401k, free lunch in the office twice a week, top-of-the-line Apple equipment, and unlimited PTO.

• Developing platforms that enable scientists, researchers, and developers to run machine learning jobs easily and quickly at scale.
• Defining a consistent continuous integration/deployment model that will encourage cross-functional development teams to self-service application unit testing, deployment, and operations.
• Influencing and leading cross-functional initiatives that will align the team towards commonly used technologies and methodologies.
• Knowledge about what it takes to deploy and operate high availability production systems in the cloud
• Hands on experience with ML systems, either in model building or large scale training
• Proficiency in multiple programming languages relevant for such systems (e.g. Python, Rust, C++, Go, Java)
• 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. Growth mindset to both stay ahead of the curve and pick up whatever knowledge you're missing to get the job done
• Experience working directly on machine learning models – either by partnering with scientists and engineers who are building models, or by building models yourself
• Experience leading cross functional teams through ambiguous problems