Senior ML Researcher, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
$170,000 – $220,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Medical Imaging, RadiologyIndustries
Requirements
Candidates should possess a Master's degree in Computer Science or a related field, with a preference for a PhD. A minimum of four years of post-education experience in machine learning is required, along with demonstrated expertise in deep learning models and natural language processing. Strong research experience and a commitment to staying current with advancements in the field are also essential.
Responsibilities
The Senior ML Research Scientist will develop advanced deep learning models specifically for clinical data, innovate in clinical problem-solving to contribute to healthcare advancements, collaborate with technical peers and clinical experts to refine solutions, architect interdisciplinary solutions by determining optimal integration points for machine learning, conduct research integration and experimentation through reviewing academic papers and designing experiments, and provide mentorship and collaboration opportunities within the Machine Learning Team.
Skills
Deep Learning
Natural Language Processing
Speech and Language Models
Machine Learning
AI Research
Clinical Data Analysis
Model Development
Research Integration
Team Mentorship
Rad AI
AI-driven software for radiology workflows
About Rad AI
Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$76.8MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees