Senior ML Software

About the Project

Projects' vision is to become the operating system for every dental office in America by leading the transition to digital dentistry for the $200 billion dental industry. Headquartered in New York City, the project is backed by the world's leading venture capital investors.

About the Role

IntelligiChain is hiring Senior Software Engineers to join our rapidly scaling technology organization. As one of IntelligiChain's early engineers, you will play a key role in the success of our team and company. You'll be challenged to learn new technologies, given the freedom to solve problems on your own, and will learn by doing.

Our stack: Python, Docker, Flask, C/C++, GCP

What You’ll Do

• Build backend infrastructure to perform scalable training, evaluation, and inference in the cloud and client-side infrastructure to perform efficient inference in the cloud and on the edge devices
• Build comprehensive data management systems for scalable data collection, labeling, processing, and evaluation
• Work with product teams and engineers to make applications of machine learning ubiquitous to Dandy
• Be a representative for how to apply machine learning and related techniques throughout the engineering and product organization
• Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines

Required skills

• 8+ years of experience, 3+ in ML Infrastructure
• Proven experience building scalable Machine Learning Infrastructure that made it into a meaningful production system
• Experience in building Distributed Systems with Cloud Infrastructure (AWS/Azure/Google Cloud)
• Experience with MLOps/DevOps best practices for deployment and monitoring of ML models in production environments

Bonus Points For

• Experience developing software code in one or more programming languages (Python, C++, Go etc.)
• Ability to understand / learn the infrastructure and data engineering requirements around MLOps and Modernization
• Ability to implement and optimize Dockerfiles and extensive knowledge of the Ops tools that helps to orchestrate and monitor container’s stability (such as Kubernetes, Grafana, Kibana etc)
• Experience with Machine learning eg. SciPy, Scikit-Learn, XGboost, Tensorflow, PyTorch
• Time spent at a venture-backed startup during hyper-growth
• Relentlessly positive attitude, a strong sense of humor, and the ability to have fun at work                                                                                                                      IntelligiChain is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture and celebrating authenticity. We do not discriminate on the basis of race, religion, color.