Senior ML Infrastructure Engineer I

ICON is looking for a Senior ML Infrastructure Engineer I to join the BuildAI team. BuildAI is ICON’s AI-powered software platform for housing design. We're on the cusp of a revolution in architecture. Generative AI and digital design together will radically improve the home construction process. ICON has a unique opportunity to lead this change and further its vision to make affordable, dignified and beautiful architecture available to everyone

As a Senior ML Infrastructure Engineer I at ICON you’ll build out the next generation of digital design tools, helping combine the creativity of generative AI models, the precision of ICON’s digital design tools and the flexibility of 3D printing. If successful your work will help millions of people design and build their dream homes.

ICON is looking for an open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. You will be responsible for developing planning, visualization and design tools to power the residential design and construction process. This role reports to the Director of AI and is based in our Austin, TX headquarters.

RESPONSIBILITIES:

• Implement new back end services for our BuildAI platform.
• Design, develop, test and deploy reusable services and paradigms for use throughout a suite of applications within the BuildAI platform.
• Work with Front End developers to implement new workflows for the BuildAI platform.
• Work with application and front end engineers to manage relationships between authored model data, backend data and rendering.

MINIMUM QUALIFICATIONS:

• 7+ years of experience.
• BS in Computer Science, related field, or equivalent experience.
• Experience developing REST APIs.
• Node.js and TypeScript experience.
• Experience building microservices.
• Work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables.
• An ability to learn and develop skills. 
• An ability to communicate clearly and succinctly both in-person and written.

PREFERRED SKILLS AND EXPERIENCE:

• AWS Lambda and Serverless experience.
• AWS Cloud development kit experience.
• PostgreSQL, GraphQL experience.
• Python, C++ experience.
• Experience working with Docker.
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.

PHYSICAL/ENVIRONMENTAL REQUIREMENTS:

• Can be remote but must be willing and able to travel to Austin.