Dandy

Full-stack Engineer

• Develop and deliver full-stack features and improvements to Dandy’s products in a secure, well-tested, and performant way.
• Collaborate with Product Management, UX Designers, and other stakeholders within EPD to maintain a high bar for quality in a fast-paced, iterative environment.
• Advocate for improvements to product quality, security, and performance.
• Solve technical problems of moderate scope and complexity.
• Craft code that meets our internal standards for style, maintainability, and best practices. Maintain and advocate for these standards through code review.
• Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions.
• Partner with cross-functional teams such as Go-to-Market, Customer Experience, and Business Operations to shape our product strategy for delivering the best digital lab experiences for our customers.

Senior Software Engineer I, Clinical Experience

Product Manager

• Partner with Legal, Security, and Engineering to translate regulatory requirements into detailed product requirements.
• Act as the primary interface between legal, security, engineering, and business stakeholders.
• Drive the technical discovery and decision-making process for compliance architecture.
• Actively identify and resolve cross-team dependencies, resource conflicts, and execution bottlenecks.
• Lead and manage relationships with external compliance vendors.

Senior Compliance Product Manager – International Expansion

• drive product strategy and vision within the Clinical Experience area
• partner with engineering, design, analytics and cross-section of business stakeholders
• go deep with our customers to understand their needs and motivations
• clearly communicate success metrics to key members of the org
• be a thought partner with stakeholders outside of the tech org

Senior Product Manager, Clinical Experience

Engineering Manager

• Lead execution of the ML roadmap, managing a team focused on 3D deep learning and computer vision.
• Partner with product, engineering, and research stakeholders to align and execute technical strategy with business goals.
• Lead and grow a high-performing team of ML scientists, engineers, and researchers.
• Drive the development of computer vision models to extract structure from unstructured, information-dense 3D scans.
• Research and implement state-of-the-art methods for developing models to accomplish 3D generative AI tasks as well as conventional computer vision tasks.
• Collaborate with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines.
• Manage large-scale datasets to develop both generic models as well as fine-tune models for specific applications.
• Develop evaluation methods to establish confidence in our datasets and models.
• Implement best practices for our MLOps pipelines, ensuring robust and scalable deployment of models.

Engineering Manager, Machine Learning

Engineer

• Collaborate with 3rd party integrators and internal engineering teams to scale R&D solutions into high volume production processes
• Drive process development work to quickly solve problems and optimize for cost, quality, and efficiency
• Participate in FAT/SAT, IQ/OQ/PQ, and other commissioning activities
• Activities may include writing machine specifications, evaluating proof of concept systems, conceptual machine design, developing process DOEs, and root cause analysis
• Develop, validate, and document manufacturing process improvements including automation, equipment utilization, fixture design, etc.,
• Collaborate with broad range of technical expertise throughout the company

Advanced Manufacturing Engineer – Assembly

• Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements.
• Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt.
• Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner.
• Write clean, maintainable code and tests that set the standard for our internal best practices.
• Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar.

Senior Software Engineer I, Clinical Experience

Senior Compliance Product Manager – International Expansion

Senior Product Manager, Clinical Experience

Engineering Manager, Machine Learning

Advanced Manufacturing Engineer – Assembly

Senior Software Engineer II, ML Platform