Dentsply Sirona is the world’s largest manufacturer of professional dental products and technologies, with a 130-year history of innovation and service to the dental industry and patients worldwide. Dentsply Sirona develops, manufactures, and markets a comprehensive solutions offering including dental and oral health products as well as other consumable medical devices under a strong portfolio of world class brands. Dentsply Sirona’s products provide innovative, high-quality and effective solutions to advance patient care and deliver better and safer dentistry. Dentsply Sirona’s global headquarters is located in Charlotte, North Carolina. The company’s shares are listed in the United States on NASDAQ under the symbol XRAY.

　　Bringing out the best in people

　　As advanced as dentistry is today, we are dedicated to making it even better. Our people have a passion for innovation and are committed to applying it to improve dental care. We live and breathe high performance, working as one global team, bringing out the best in each other for the benefit of dental patients, and the professionals who serve them. If you want to grow and develop as a part of a team that is shaping an industry, then we’re looking for the best to join us.

　　Working at Dentsply Sirona you are able to:

　　Develop faster - with our commitment to the best professional development.

　　Perform better - as part of a high-performance, empowering culture.

　　Shape an industry - with a market leader that continues to drive innovation.

　　Make a difference -by helping improve oral health worldwide.

　　Position Summary:

　　As a Senior AI/ML engineer with Dentsply Sirona, you will work at the forefront of AI/ML product development at Dentsply Sirona: embedded in our muti-cultural and worldwide R&D team, leveraging the reach of Dentsply Sirona’s cloud-based ecosystem DS Core. In close collaboration with the AI/ML scientists, you will bring AI/ML research to life by providing end-to-end on-cloud solutions surrounding AI/ML research. At Dentsply Sirona, we work with Google Cloud, giving you the tools and power you need to solve intriguing challenges, and the opportunity to grow your technical skill both in depth and breadth while developing medical grade products.

　　Key Responsibilities:

　　Assures that the duties, responsibilities, and authority of each job in his/her department or area of influence are clearly defined and effectively communicated.

　　Manages personnel within a group with responsibilities including staffing, performance management, development and coaching, training, and application of policies, programs, and procedures.

　　Assures that a positive employee relations environment is maintained through effective communication.

　　System design surrounding ML services.

　　Design and develop testing and monitoring tools for ML models.

　　Design and build data pipelines (from storage to monitoring telemetries).

　　Design, develop and support our CI/CD pipeline for ML models.

　　Collaborate closely with our ML science teams, software architects, and software development teams to bring AI/ML research to life.

　　Researching and adopting best MLOps (Machine Learning Operations) practices to design and develop end-to-end machine learning pipelines.

　　Provide and maintain research, experimentation and deployment tools for our ML research.

　　Mentor other team members, other teams and chapter members

　　Perform high quality code reviews

　　Participate in interview processes, help the team make hiring decisions

　　Education:

　　MS degree in computer science, statistics, mathematics, or related field.Years and Type of Experience:

　　5+ years of professional experience working in cloud infrastructure development

　　3+ years of professional experience in building and optimizing data/ML model pipelines and projects in a business environment

　　3+ years of professional experience working with common machine learning frameworks

　　Key Required Skills, Knowledge, and Capabilities:

　　Excellent communication, project planning, and teamwork skills

　　Excellent written, verbal presentation, and communication skills in English

　　Experience in working in the cloud, preferably GCP

　　Experience building end-to-end systems as a Software Engineer, DevOps, or Data Engineer (or equivalent)

　　Experience in developing data visualization tools

　　Experience with modern back-end machine learning tech stacks

　　Experience in developing end-to-end data products handling heterogeneous data sets

　　Experience in developing data-oriented workflow Experience working with any of the following products is a plus: JIRA X-ray, SonarQube, JFrog, TeamCity

　　Experience in one of the ML model development libraries is a plus: TensorFlow, PyTorch, scikit-learn, etc...

　　Key Leadership Behaviors:

　　Demonstrates a strong sense of ethical, business integrity and being forthright, honest, and demonstrating ethical standards.

　　Consistently demonstrates leadership and technical abilities within IP and R&D.

　　Drives and works effectively across the business, successfully influencing teams and persuading others.

　　Proactively engages and communicates effectively with colleagues, direct reports, internal and external stakeholders.

　　High level of transparency and accountability.

　　Demonstrates collaboration when solving problems by building trust, teamwork, credibility, and inspiring others.

　　#LI-JV1

　　Dentsply Sirona is an Equal Opportunity/ Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, disability, or protected Veteran status. We appreciate your interest in Dentsply Sirona.

　　If you need assistance with completing the online application due to a disability, please send an accommodation request to [email protected] ([email protected]) . Please be sure to include “Accommodation Request” in the subject.

　　For California Residents:

　　We may collect the following categories of personal information in connection with the submission of your resume or application materials to us for employment, and if hired, your employment with us: identifiers (e.g., name, address, email address, birthdate); personal records (e.g., telephone number, signature, education information, criminal background information, passport number and visa information); consumer characteristics (e.g., sex, marital status, veteran status, race, disability, sexual orientation); professional or employment information (e.g., resume, cover letter, employment history, background check forms, references, certifications, transcripts and languages spoken); and inferences from personal information collected (e.g., a profile reflecting abilities and aptitudes).

　　The above categories of personal information are collected for the following business purposes: performing recruitment and hiring services; processing interactions and transactions (e.g., to comply with federal and state laws requiring us to maintain certain records, managing the workforce); and security (e.g., detecting security incidents, protecting against fraudulent or illegal activity).

　　For additional details and questions, contact us at [email protected]