---
title: 'Senior Machine Learning Engineer at Videa'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-videa-boston-m0wn027ntjpq'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Machine Learning Engineer at Videa

- **Company:** Videa
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-17
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/videa.ai/0324961e-86f6-40f5-a106-a23c0e9b362c

## Job description

## ABOUT US:

Videa 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 enhance the quality of care through faster diagnoses, to increase operating efficiencies, and to improve patient understanding.

## ABOUT THE POSITION:

We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer vision teams. This is an opportunity to design, build, and scale machine learning systems that combine structured clinical data with outputs from our core computer vision models to improve patient care and operational performance.

You'll own end-to-end development of production ML systems, integrate them safely into healthcare workflows, and deploy reliable, interpretable, and monitored models that meet medical-grade standards. Depending on your background, that might mean predictive and tabular modeling, multimodal systems, large-scale training and inference infrastructure, model evaluation and reliability, or another specialty where you bring real depth. You'll work alongside ML scientists, clinical experts, and product engineers to translate real clinical questions into systems that ship and hold up over time.

We're looking for a hands-on builder who's excited to work with real-world clinical data, get models into production, and own them across their full lifecycle. If you care about impact and want to help define the future of applied AI in healthcare, we'd love to meet you.

## KEY RESPONSIBILITIES:

- Design, build, and deploy production ML systems for clinical decision support and operational insight, applying deep expertise from your area of specialty.
- Develop ML pipelines that integrate structured clinical or EHR data with outputs from computer vision models to power downstream applications.
- Ensure the calibration, robustness, and interpretability of deployed models, including clear clinician-facing explanations where relevant.
- Implement monitoring, drift detection, evaluation protocols, and retraining or update workflows for production systems.
- Partner cross-functionally with product, engineering, clinical, and compliance teams to define requirements and integrate models into live workflows.
- Contribute to regulatory documentation for ML systems (data descriptions, validation reports, model versioning).
- Mentor engineers and help establish best practices for applied ML and experimentation.

## REQUIREMENTS

- 4+ years building and deploying machine learning systems in production, ideally with real-world or clinical data.
- Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
- Strong development skills in Python with testing, CI/CD, and collaborative coding practices.
- Exceptional critical thinking and problem decomposition. Able to turn ambiguous clinical or business questions into measurable hypotheses, design sound experiments, and reason clearly about trade-offs between accuracy, reliability, interpretability, and operational impact.
- Familiarity with production ML practices, including monitoring data drift, performance over time, and model health.
- Excellent communication skills and a collaborative, product-oriented mindset.

## PREFERRED

- M.S. or Ph.D. in a relevant technical field.
- Experience with healthcare data or regulated ML systems.
- Background in multimodal or stacked models, especially combining CV outputs with tabular data.
- Familiarity with survival analysis, time-series, or longitudinal modeling.
- Open-source contributions or published work in applied ML.
- Prior leadership or mentorship experience

## What We Offer

- Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us
- Competitive pay, equity and benefits (flexible PTO)
- Agile organization where being senior translates to being a mentor and role model for others. We lead by example.
- Technical challenges on the leading edge of innovation where software and machine learning intersect.

Videa 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!

## About Videa

## Company Overview
- **One-liner**: Videa provides a complete AI platform for dentistry that connects diagnostics, documentation, and daily operations to help clinicians deliver better care.
- **Entity Type**: Private (Growth Stage; raised $40M Series B in January 2025)
- **Headquarters**: Boston, Massachusetts, USA (with a second office in Brooklyn, New York)
- **Founded**: 2018
- **Founders**: Florian Hillen

## Core Business
- **Primary industry/industries**: Dental AI / Healthcare Technology / Dental Practice Management
- **Target customers**: B2B — Dental Service Organizations (DSOs), group practices, and independent dental practices
- **Mission or purpose statement**: "Improve the oral health of a billion people globally" by helping dental clinicians deliver more consistent, high-quality care through artificial intelligence.

## Products & Services
Videa’s platform includes over 8 integrated products, all custom-built to improve dental clinician workflow:
- **Clinical Assist**: AI-powered diagnostic aid for detecting dental conditions on radiographs, with multiple FDA 510(k) clearances.
- **AutoVerify**: Automated insurance claim verification and pre-authorization.
- **Voice Perio / Voice Notes**: Ambient voice documentation for periodontal charting and clinical notes, reducing manual data entry.
- **Daily Dashboard**: Operational analytics and practice performance insights.
- **Insights**: Data-driven reporting and business intelligence for DSOs and practices.
- **Clean Claims**: AI tool to reduce claim rejections and streamline billing.
- **Scale**: Tools for enterprise-wide AI deployment and adoption management.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding — $40M Series B (January 2025). Prior rounds include undisclosed earlier funding. Over 90,000 clinicians use the platform.
- **Notable Investors/Partners**: Partners include major DSOs such as Heartland Dental, The Aspen Group (Aspen Dental), Great Expressions Dental Centers, 42 North Dental, Gen4 Dental, Cherry Tree Dental, Riccobene Associates Family Dentistry, and TAG. Also integrated with Henry Schein One’s Dentrix Detect.
- **Growth Signals**: Rebranded from "VideaHealth" to "Videa" in April 2026 to reflect a broader platform beyond imaging. Expanded from DSOs to independent private practices. 20% higher treatment plan value for periodontal codes and 8% increase in gross production per patient reported at Independence Dental. 110 total employees as of mid-2026.

## Competitive Advantages
- **Multiple FDA 510(k) clearances** (K213795, K232384, K251002) — a regulated moat that creates high barriers to entry and requires rigorous clinical validation.
- **Deep enterprise integration** with major DSOs, making switching costs high for large customers.
- **Platform breadth** — not just imaging AI, but also voice documentation, claims automation, and analytics, creating a "one-stop shop" for dental practices.
- **AI Leadership Council** — an advisory board of influential clinical and operational leaders in dentistry, grounding product decisions in real-world practice needs.
- **High adoption rates** — cited as "the most adopted dental AI platform" with proven case acceptance improvements (90%+ in some metrics).

## Strategic Focus
- **Expanding beyond DSOs** to serve independent private practices after the 2026 rebrand.
- **Building an integrated platform** that connects clinical, operational, and financial workflows rather than point solutions.
- **Scaling enterprise rollouts** — structured deployment programs to drive consistent adoption across large organizations (e.g., Independence Dental case study).
- **Voice and automation** — investing in ambient AI for clinical documentation to reduce clinician burnout and documentation time.

## Why Work Here
- **Culture highlights**: Values include "Bias to Action," "Extreme Ownership," "Customer Obsession," "One Team," and "Growth Mindset." The company describes itself as fast-moving, with a focus on iteration and shipping ("Done is better than perfect").
- **Remote/Hybrid/Office policy**: Hybrid — offices in Boston (HQ, 281 Summer St) and Brooklyn, NY. Roles likely require some in-office presence.
- **Notable perks**: Unlimited PTO, 100% company-paid dental and vision coverage, generous medical contributions. Equity compensation emphasized.
- **Engineering culture**: Works inside an FDA-regulated environment, meaning teams plan around evidence, documentation, and compliance checkpoints. Described as "speed-first execution inside FDA-regulated, enterprise dentistry" — great for mission-driven builders who thrive on urgency within tight guardrails.
- **Tradeoffs**: Compensation is competitive for a startup but potentially below larger-company packages; priorities and processes evolve quickly in a 51–200 person company, which can create change fatigue.

## Sources
1. [videa.ai](https://videa.ai/)
2. [videa.ai/our-company](https://www.videa.ai/our-company)
3. [builtin.com](https://builtin.com/company/videahealth/faq/workplace-perception)
4. [linkedin.com](https://www.linkedin.com/company/videaai)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/videa.ai)

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