R&D Engineer

We know that dental professionals do more than create healthy, beautiful smiles—they create confidence. To achieve their goals, they need a champion. They need someone who will be there for them, side by side and end to end.

At Envista, we’re uniquely positioned to be this champion. Our differentiated combination of continuous improvement, a bias toward action, a deep respect for the professionals we serve, and innovative products and services embolden us to champion dental professionals like no one else can. Our comprehensive product portfolio covers an estimated 90% of dentists’ clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the aesthetics of the human smile. Envista companies partner with dental professionals to help them deliver the best possible patient care.

We believe true champions lift each other upand we are looking for new champions to join our team. If you believe champions do more than win—they stand for something bigger—you can build a meaningful career at Envista. If you believe champions work to be their best, help others be theirs, show up every day to make a difference, and celebrate the differences in others, let’s talk. Are you that champion? Learn more at envistaco.com. Together, we can do amazing things.

Role Overview/Summary We are looking for a research engineer/scientist in the field of Computational Geometry, Design Optimization, Algorithm Design, and Machine Learning. You will join a team of software developers, mechanical engineers, clinical experts, and fellow researchers, to create next-generation solutions for Spark and Digital Orthodontics in general.

Primary Duties And Responsibilities

• Investigate various aspects of the digital orthodontics workflow to identify areas for automation and optimization.
• Develop advanced algorithms and methodologies for automatic processing, augmentation, integration, and prediction of photographic, volumetric, geometric and/or meta data.
• Participate in an iterative concept prototyping pipeline to validate or disprove new ideas.
• Design experiments, metrics, and acceptance criteria, for the validation of proposed solutions both in terms of technical capability and clinical significance.
• Implement proposed solutions as high-fidelity proptotypes that can be readily handed-over to product development teams for commercialization.
• Create technical reports to document the investigation, its findings, and proposed solutions.
• Work with cross-functional teams regularly to communicate progress and potential risks.
• Conduct technology and patent scans to be in-tuned with the state of the art.
• Participate in patent filing activities.