Senior ML Research Scientist
Rad AI170,000 - 220,000 USD/year
- 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, HealthcareIndustries
Requirements
Candidates must hold an M.S. or PhD in Computer Science or a related field and have a minimum of 4 years of hands-on development experience building deep learning and/or data pipelines. Proficiency in at least one deep learning framework such as PyTorch, TensorFlow, or Keras is required. Strong software development skills, particularly in Python testing, are essential. Candidates should also have experience in reading and implementing technical research papers, along with strong communication and collaboration skills. A proactive, ambitious attitude and a willingness to learn quickly are important traits.
Responsibilities
The Senior Machine Learning Engineer will take ownership of projects and execute ambitious milestones within the Machine Learning team. Responsibilities include designing and implementing infrastructure for reliable and high-performance deep learning and analytics pipelines focused on detecting and classifying dental conditions from x-ray images. The role involves managing large datasets, defining data sampling approaches, and conducting performance evaluations. Additionally, the engineer will collaborate with researchers, physicians, and regulatory bodies, and work closely with advisors from MIT and Harvard.
Skills
Python
Deep Learning
PyTorch
TensorFlow
Keras
Data Pipelines
Deep Learning Frameworks
Software Development
Testing
Technical Research Papers
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