About the job
Join Interface as a Forward Deployed Engineer! We are on the lookout for innovative generalist engineers (machine learning, data, full-stack) who are not afraid to push boundaries and have a strong drive to succeed. If you thrive in a fast-paced environment and believe in building quickly to achieve results, we want you on our team!
Who You Are:
You make quick, strategic decisions that can be reversed easily.
You proactively identify and resolve issues before they are brought to your attention.
You are proficient with our technology stack, including TSX, Python, Docker, LLMs, YOLO, Tesseract, PostgreSQL, AWS, and React Native.
You have a track record of building impactful products that are actively used.
You excel in dynamic and chaotic environments.
Your Responsibilities:
Engage with users and customers to understand their experiences, challenges, and needs.
Design and architect systems that are utilized daily by large-scale enterprises.
Develop autonomous data pipelines that efficiently audit vast amounts of documents.
Manage scalable infrastructure to support our growing needs.
Deliver solutions rapidly, as we believe that perfectionism can impede progress.
Real Talk:
Collaborate closely with the founding team and our customers.
Prioritize user needs over flashy features and trends.
Expect to work six days a week at our office.
Be ready for an intense working environment in San Francisco, known for its excellent weather and vibrant tech ecosystem.
Additional Information:
Remote applications are welcomed from candidates around the globe.
We offer competitive salaries, substantial equity, and the opportunity to influence early-stage decisions.
Receive a $3,000 bonus for successful referrals!
About Interface: We are the leaders in autonomous safety solutions for the industrial sector. We are developing an advanced AI-powered auditing platform that identifies and rectifies errors in various industrial documents, including regulatory filings and CAD files. Join us at the forefront of innovation where LLMs, computer vision, and data pipelines converge to redefine compliance and safety standards.

