Machine Learning Researcher
Doe Labs
Machine Learning Researcher
Doe Labs
AI platform for healthcare group analytics
At Doe, we’re building an AI workforce that operates mission-critical workflows across private equity-backed rollups - starting with DSOs. These agents need to be fast, resilient, auditable, and secure.
Here's why we might not be the right fit for you:
• We work hard and have a high-velocity environment with lots of growth opportunities.
• We value exceptional performance and continuous improvement. We believe that if you aren't constantly learning, you aren't growing.
• You will be responsible and accountable for making high-impact decisions that determine
Who we're looking for:
Someone who has a deep understanding of the ML development cycle, focusing on iteration speed and identifying bottlenecks
Someone who is goal-oriented and driven. You must be comfortable being given a goal and doing whatever is necessary to achieve the goal
Proficient in Python, Tensorflow or PyTorch
Doe Labs delivers an enterprise AI platform for private-equity-backed healthcare groups, starting with Dental Service Organizations (DSOs). The platform uses task-specific AI agents that connect to fragmented systems, including practice-management software, supplier portals, and email, even when no formal APIs exist. These agents automate operations such as procurement, inventory optimization, approvals, scheduling, compliance, and analytics, enabling real-time visibility into profitability across multiple locations. By surfacing actionable insights and enabling cross-location automation, the system aims to lift EBITDA and operational efficiency for multi-site healthcare networks. The software-as-a-service model targets DSOs and other multi-site groups in healthcare segments like veterinary, ophthalmology, and med spas, focusing on the needs of private-equity-backed organizations that manage several sites.
Explore more opportunities at Doe Labs