Senior AI/ML Engineer

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.

Dentsply Sirona, Waltham, MA, is looking for a senior software engineer with AI product development experience. The candidate will join the Machine Learning Engineering (MLE) team that builds and maintains infrastructure around the AI models used in our cloud-based solution. Candidates will get to bring products to customers of Dentsply Sirona’s platform and help further our mission – To transform dentistry and improve oral health globally.

This is a hybrid position which requires working in the office at least one day per week.

Primary Job Responsibilities

• Leads the development of machine learning models for larger projects, optimizing solutions and driving research on new techniques
• Be responsible for end-to-end development, from research and experimentation to deployment
• Handle complex, large-scale AI/ML projects that solve both technical and business challenges
• Be a source of technical expertise for the team in machine learning engineering
• Mentor junior engineers within the team
• Design, implement, and optimize machine learning systems and algorithms.
• Work on deploying models in production environments, managing data pipelines, and ensuring scalability.
• Collaborate with cross-functional teams to define and refine requirements
• Identify and address issues related to scalability, performance, and reliability of ML models 
• Support product owners in refining user stories and defining acceptance criteria 
• Collaborate with software architects to ensure successful integration of ML models and with other teams to bring algorithms to production
• Analyze and perform high quality code reviews 
• Participate in interview processes, helps the team make hiring decisions  
• Follow the current state-of-the-art technology and best software engineering practices

Qualifications

Education:

• Bachelor's or Master's degree in Computer Science or equivalent experience.

Years And Type Of Experience

• 4 to 6 years of software engineering experience
• Experience with complex technical projects across teams
• Experience with system architecture and scalability
• Experience mentoring engineers
• Experience with distributed systems
• Experience with technical strategy development is advantageous
• Experience in medical device development is a plus
• Track record of successful architecture decisions is a plus

Key Skills, Knowledge & Capabilities

• Excellent written, verbal presentation, and communication skills
• Experience working in a global team
• Experience in working in the cloud
• Experience building end-to-end systems as a software engineer (or equivalent)
• Experience in one of the ML model development libraries: TensorFlow, PyTorch, scikit-learn, etc.

The base salary for this role located in Massachusetts is between $140,000-180,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.

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]. 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]