Senior ML Research Scientist
Rad AI$170,000 - $220,000/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
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: Not provided
AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle. The company has raised over $205M in funding and is rapidly growing, with a consistent increase in transaction volume (approximately 2.5x year-over-year). AKASA serves innovative health systems like Stanford and Johns Hopkins, representing over $90B in net patient revenue. AKASA is recognized as one of the fastest-growing GenAI startups to watch by AIM Research and has been named among America’s Best Startup Employers by Forbes, Most Innovative Digital Health Startups by CB Insights, and Best Places to Work by Fortune, Modern Healthcare, and Built-In. Learn more at www.AKASA.com. AKASA is building the future of healthcare with AI and welcomes a diverse and inclusive workplace.
About the Role
As a Senior Machine Learning Researcher at AKASA, you will be a key contributor to pioneering advanced AI solutions transforming healthcare. You’ll collaborate with a team of PhD researchers, ML engineers, and healthcare experts to develop models that enhance human efficiency and precision in healthcare operations. The goal is to empower healthcare professionals with tools that amplify their capabilities.
This role involves:
- Developing and adapting advanced language models, including pretraining and fine-tuning work on architectures like Llama.
- Contributing to the entire model lifecycle – from design and data creation to training, evaluation, and iteration.
- Influencing new research directions and contributing to AKASA’s product offerings.
Responsibilities
- Design and implement advanced machine learning models, particularly focusing on language models.
- Conduct research on model architectures, training techniques, and evaluation metrics.
- Create and curate high-quality datasets for model training and evaluation.
- Collaborate with engineers to integrate models into production systems.
- Contribute to publications and presentations to share research findings.
- Influence research direction and contribute to AKASA’s product strategy.
Requirements
- Not provided
- PhD in Computer Science, Machine Learning, Statistics, or a related field.
- Strong background in machine learning, deep learning, and natural language processing.
- Experience with large language models (LLMs) and transformer architectures.
- Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).
- Excellent communication and collaboration skills.
Application Instructions
- Not provided
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.
San Francisco, CaliforniaHeadquarters
2018Year Founded
$199.4MTotal Funding
SERIES_CCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees