Staff / Principal Software Engineer
Overjet builds AI systems used by thousands of dental providers and insurers to analyze radiographs and support clinical and insurance decisions.
The platform is trained on millions of annotated radiographs and FDA-cleared to detect and outline disease and anatomy, including decay, bone levels, and periapical lesions directly on dental X-rays. Behind that product is a distributed ML platform: model training systems, large-scale imaging pipelines, and real-time inference delivered directly into clinical and insurance workflows. We’re hiring the engineer who will help define how that platform grows . The Role You’ll own the architecture of the system powering Overjet’s ML platform, from how models are trained and versioned to how predictions reach providers and insurers in real time. This role sits at the intersection of ML and engineering. You’ll work directly with ML scientists, infrastructure engineers, and product teams to move models from research into production and deliver results to providers and insurers in real time. This is a Staff / Principal-level role . You’ll set technical direction, make architectural decisions, and raise the engineering bar across the platform. Responsibilities Or What You’ll Work On- Platform services supporting the full ML model lifecycle: training pipelines, versioning, rollout safety, and auditability
- Distributed inference systems that analyze radiographs at scale and deliver model predictions inside live clinical and insurance workflows
- Reliability, latency, and observability for model-backed APIs operating under clinical workflow constraints
- Infrastructure that supports multiple model generations in a regulated environment where bad rollouts have real consequences
- Engineering standards and technical direction across the ML platform
- Map the current platform architecture and identify the biggest risks and opportunities
- Ship meaningful improvements to core inference or platform infrastructure
- Propose and begin executing on high-leverage architectural changes
- Raise the technical bar for the engineers around you
We care more about the systems you've built than a checklist of technologies.
Strong Candidates Typically Have- Built or owned ML platform or backend systems serving real production workloads
- Designed distributed systems and APIs used by other engineers or products
- Operated infrastructure in cloud environments with high reliability requirements
- Shipped systems supporting machine learning or data-intensive workloads
- Led technical direction for teams of senior engineers
Overjet’s models are embedded in live clinical and insurance workflows. They have to keep getting better without breaking the systems that depend on them, in a regulated environment, at scale, across multiple model generations.
Why Overjet?- Competitive Compensation and Equity
- Hybrid workplace that provides flexibility, vibrant in-person workspaces, and the ability to build strong connections across all of Overjet - regardless of location
- 401k plans with a matching program
- Medical, Dental and Vision coverage: 99% employee premium covered, 75% dependent premium covered
- Life and AD+D Insurance
- 8 weeks Paid Parental Leave
- Optional HSA with Employer contribution
- Flexible Time Off and company paid holidays
- Annual Learning and Development Stipend
- Work from Home Stipend
We have a unique hybrid workplace at Overjet — which combines the teamwork of meeting in person, with the flexibility of working from anywhere.
Many of our positions are based in San Mateo, New York City, Boston, Salt Lake City, and Lahore. The Jetsetters who live in these “geo-hubs” come to the office on Tuesdays and Wednesdays, while having the option to work from home the rest of the week. Our People Team is happy to answer any questions about what hybrid work means for your specific role! Overjet's Values- Excellence: We set ambitious goals and strive for excellence.
- Velocity: We focus, act with urgency, and deliver results.
- Ownership: We take ownership, dive deep and solve problems.
- Win-win: We play to win, setting ourselves and our customers up for success.
- Growth: We stay curious, seek feedback, and continuously learn and grow.
- Honored as one of the 2025 Best Places to Work by Built In and 2024 Best Places to Work by Built In
- Named one of the TIME Best Inventions of 2024
- Recognized in Newsweek’s Most Loved Workplaces in America 2024
- Won the Dental Health category at the Digital Health Awards 2024 and 2024 Best Places to Work by Built In
- Recognized as one of the Top Startups of 2023 by LinkedIn
- Named one of the 2023 World’s Most Innovative Companies by Fast Company
- Included on the definitive 2022 Forbes AI 50
- Featured in Bloomberg, Forbes, Fast Company, and TechCrunch
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