Senior Machine Learning Engineer at VideaHealth

Boston, Massachusetts, United States

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$100,000 – $200,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, HealthcareIndustries

Skills

Key technologies and capabilities for this role

PythonDeep LearningPyTorchTensorFlowKerasData PipelinesDeep Learning FrameworksSoftware DevelopmentTestingTechnical Research Papers

Questions & Answers

Common questions about this position

What is the salary range for the Senior Machine Learning Engineer position?

The salary range is $100K - $200K.

Is this a remote or hybrid role?

This is a hybrid position.

What are the key skills required for this role?

Requirements include an M.S. or PhD in Computer Science or related field, minimum 4 years of hands-on development building deep learning and/or data pipelines, experience with at least one deep learning framework like PyTorch or TensorFlow, strong Python software development skills including testing, and experience reading & implementing technical research papers.

What is the company culture like at VideaHealth?

VideaHealth offers a fast paced and collaborative work culture where you will work closely with the leadership team, researchers, physicians, regulatory bodies, and advisors from MIT and Harvard.

What makes a strong candidate for this Senior Machine Learning Engineer role?

Strong candidates will have an advanced degree in Computer Science, 4+ years building deep learning pipelines, experience with deep learning frameworks and Python, plus strong communication, collaboration skills, and a proactive, ambitious mindset.

VideaHealth

AI solutions for dental diagnostic accuracy

About VideaHealth

VideaHealth focuses on improving dental care using artificial intelligence (AI) technology. The company provides tools that help dental service organizations (DSOs) and individual clinicians enhance their diagnostic accuracy and transparency in patient care. Their AI solutions integrate into existing dental practices, allowing professionals to make more precise diagnoses, which can lead to better treatment outcomes and increased patient satisfaction. VideaHealth differentiates itself by offering a subscription or licensing model for its services, ensuring a steady revenue stream while also providing demos to showcase their technology. The main goal of VideaHealth is to transform dental care by enhancing diagnostic capabilities and building trust between patients and their dental providers.

Boston, MassachusettsHeadquarters

2018Year Founded

$25.8MTotal Funding

SERIES_ACompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

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

A team led by a VP of Engineering who spent the first half of his career as an engineer who understands what engineers need to thrive and whose mission is for Videa to be the best team you'll ever join.

Competitive pay and equity.

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

Risks

Emerging dental AI startups threaten VideaHealth's market share.

Regulatory challenges may arise with new AI algorithm introductions.

Dependence on DSOs poses risks if they switch to competitors.

Differentiation

VideaHealth offers the only FDA-cleared dental AI pediatric algorithm on the market.

The company collaborates with DSOs to enhance diagnostic accuracy and transparency.

VideaHealth integrates AI solutions seamlessly into existing dental practices.

Upsides

Partnerships with DSOs like Heartland Dental expand VideaHealth's market reach.

The rise of personalized dental care aligns with VideaHealth's AI tool development.

Increasing 3D dental imaging adoption offers expansion opportunities for VideaHealth's AI capabilities.

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