Machine Learning Engineer
HangSalary not specified
- Full Time
- Senior (5 to 8 years)
$100,000 – $200,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Healthcare, Enterprise SoftwareIndustries
Requirements
Candidates must hold an M.S. or PhD in Computer Science, Machine Learning, or a related field. They should have over 7 years of hands-on development experience in building deep learning and/or data pipelines, along with at least 2 years of team management experience demonstrating the ability to lead by example. Excellent strategic communication and collaboration skills are required, as well as broad ML experience across natural language understanding and computer vision. Exceptional Python development skills, including experience in CI/CD and GitHub, are essential. Candidates should also have the ability to apply business context to drive effective decision-making in data science problems.
Responsibilities
The Machine Learning Engineering Manager will own the day-to-day execution of the ML team, focusing on the design and implementation of infrastructure for reliable and high-performing machine learning and analytics pipelines. They will define and execute processes for managing large amounts of data and performing effective evaluations of the clinical efficacy of algorithms. The role involves exciting collaborations with researchers, physicians, and regulatory bodies, as well as contributing to the development of impactful software medical devices.
Skills
Python
Deep Learning
Data Pipelines
CI/CD
GitHub
Natural Language Understanding
Computer Vision
Strategic Communication
Collaboration
Data Evaluation
Clinical Efficacy
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.
Key Metrics
Boston, MassachusettsHeadquarters
2018Year Founded
$25.8MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees