Senior ML Engineer - Remote Healthcare AI

Akasa; San Francisco (CA); Remote; USD 180,000 - 230,000; Full time

Benefits offered by this job

Flexible paid time off

Health coverage

Health Savings Account (HSA)

Parental leave

Life insurance

Home office stipend

Cell phone/internet reimbursement

Job summary

Akasa in San Francisco Bay Area is seeking a Sr. Machine Learning Engineer to translate clinical data into actionable AI models. You will join PhD researchers and ML engineers to deploy production ML systems that process large proprietary medical datasets, including structured documents, natural language, and images.

The role blends research, software engineering, and healthcare outcomes. You’ll collaborate with the team to deploy models that improve documentation, coding accuracy, and claim

Qualifications

• Master's degree in Computer Science or a related field.
• 5+ years of experience in machine learning and data engineering.
• Experience launching production ML systems from the ground up.
• Experience with Large Language Models, including deployment or fine-tuning of LLMs.
• Proficiency in Python and C++.
• Development experience with cloud platforms such as Spark, AWS and Kubernetes.
• Knowledge of ML frameworks such as Scikit-Learn, PyTorch and TensorFlow.

Responsibilities

• Develop state-of-the-art ML solutions addressing large-scale healthcare problems.
• Own ML services end-to-end—from discovery to deployment.
• Build data pipelines for data collection, preprocessing, and delivery with measurable quality.
• Write production-ready software with efficient algorithms.
• Develop ML models across LLMs, probabilistic inference, and computer vision for tasks like document extraction and coding.
• Build application-specific ML models and deploy predictions in novel ways.

Skills

Machine learning

Data engineering

Production ML systems

LLMs

Python

C++

Cloud platforms

Education

Master's degree in Computer Science

Tools

Python

C++

Spark

AWS

Kubernetes

Scikit-Learn

PyTorch

TensorFlow

Job description

Akasa in San Francisco Bay Area is seeking a Sr. Machine Learning Engineer to translate clinical data into actionable AI models. You will join PhD researchers and ML engineers to deploy production ML systems that process large proprietary medical datasets, including structured documents, natural language, and images.

The role blends research, software engineering, and healthcare outcomes. You’ll collaborate with the team to deploy models that improve documentation, coding accuracy, and claim