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About Job

About the position 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. 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 • 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 Requirements • 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 Benefits • 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 job perk: Posted At: 2 days ago, job perk: Work From Home: True, job perk: Schedule Type: Full-time, job perk: Qualifications: No degree mentioned, job perk: Health Insurance: True, job perk: Dental Coverage: True