Senior Software Engineer, Backend (Infrastructure / ML Ops)

About Us

VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increased operating efficiencies, and improved patient understanding.

About the Position

We are looking for a Senior Software Engineer to join our growing team focused on our backend infrastructure and ML platform. In this role you will have the opportunity to build foundational systems, have meaningful influence on the evolution of the technology while helping us achieve our goal of improving the dental health of millions of people. As a backend engineer you will work on platform infrastructure and products to enable our expanding array of industry revolutionizing application and machine-learning capabilities.

This is an exciting opportunity to join VideaHealth as an early key member of our software engineering team to develop secure, scalable and reliable SaaS systems. This position is based out of our HQ in Boston Massachusetts on a hybrid schedule.

We are hiring for multiple roles across various levels from Software Engineer I to Principal level. If you are a backend engineer looking for your next challenge we encourage you to apply!

What you’ll do

• Build strong relationships by being a collaborative and dependable teammate across the software and machine learning teams as well as other key organizational stakeholders.
• Create value by working on the most critical efforts at Videa.
• Champion pragmatism and help the organization on its quest to constantly improve.
• Communicate effectively and efficiently by understanding your audience.
• Collaborate with teammates to design, build, automate testing of and support REST services at the application, identity, data pipeline / storage and machine learning layers.
• Extend existing Data Lake capabilities to store and query petabytes of binary and textual data and the associated metadata, systematically arranged in S3, RDBMS, and NoSQL databases.
• Invent the future of deploying versioned machine learning models at scale.
• Advance our platform’s deployment automation capabilities.
• Enable platform to agilely support complex interactions with our customers’ and partners’ technology.

About You

Bonus points for

What We Offer

Don’t meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.

VideaHealth is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.

If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!

VideaHealth is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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