Sr. Machine Learning Engineer

The role

You will develop state-of-the-art ML solutions to address large-scale healthcare problems. You will own ML services end-to-end using large proprietary medical and clinical datasets.

What you will do

• Participate in developing state-of-the-art ML solutions to address large-scale healthcare problems
• Own ML services end-to-end, including problem discovery, data pipeline development, inference optimizations, model experimentation, and service deployment
• Help develop pipelines that collect, preprocess, and deliver data with a measurable quality
• Write production-ready software with well-tested and efficient algorithms
• Develop state-of-the-art ML algorithms across large-language models, probabilistic inference and computer vision
• Help build novel, application-specific ML models

Required qualifications

• Master's degree in Computer Science or similar
• 5+ years of work experience in machine learning and data engineering
• Experience launching production ML systems from the ground up
• Experience with Large Language Models, including both open source model deployment and agentic workflows
• Proficiency in one or more programming languages such as Python and C++
• Development experience with cloud platforms such as Spark, AWS & k8s
• Knowledge of ML frameworks such as Scikit-Learn, Pytorch & TensorFlow

Nice to have

• experience directly training or fine-tuning LLMs

Benefits

• Flexible paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Home office stipend
• Cell phone/internet reimbursement
• Company-paid holidays
• 401(K) plan

About the company

AKASA is building the future of healthcare by developing AI-native solutions for complex healthcare work. Their products help health systems capture and communicate the full patient clinical journey.