Senior ML Research Scientist
Rad AI170,000 - 220,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, HealthcareIndustries
Requirements
Candidates should have a PhD in Computer Science, Machine Learning, or a related field, along with extensive experience in machine learning research and model development. Proficiency in developing and fine-tuning advanced language models, particularly with architectures like Llama, is essential. Strong collaboration skills to work with diverse teams of researchers, engineers, and healthcare professionals are also required.
Responsibilities
The Senior Machine Learning Researcher will develop and adapt advanced AI solutions that enhance healthcare operations. They will work on end-to-end model design, including data creation, training, evaluation, and iteration. The role involves influencing new research directions, supporting high-impact publications, and contributing to AKASA's product offerings to improve healthcare professional efficiency.
Skills
Machine Learning
Language Models
Llama
Data Creation
Model Training
Model Evaluation
Research
Python
Deep Learning
AI
AKASA
Automates revenue cycle management processes
About AKASA
AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.
Key Metrics
San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees