AKASA

Sr. Machine Learning Engineer

AKASA11 months ago
Location

Remote - United States

Workplace

Remote

Type

Full Time

Salary

USD 175,000 – 230,000

Level

Senior

Role

Machine Learning Engineer

Posted

Apr 8, 2025

Full TimeRemoteSenior

The role

Summary

AKASA is seeking a Senior Machine Learning Engineer to join their innovative AI-driven healthcare revenue cycle solutions team. The role involves developing cutting-edge ML technologies to transform healthcare operations, working with complex medical datasets and state-of-the-art AI models to solve critical healthcare challenges.

What you'll do

ML Solution Development: Develop state-of-the-art machine learning solutions for healthcare revenue cycle challenges
Data Pipeline Engineering: Create robust data collection, preprocessing, and delivery pipelines with measurable quality
Model Experimentation: Conduct end-to-end ML service development, including problem discovery, inference optimization, and deployment
Advanced Algorithm Design: Build novel ML models across computer vision, large language models, and probabilistic inference
Production Software Development: Write production-ready software with well-tested and efficient algorithms

What we look for

Technical

Machine Learning ExpertiseComprehensive understanding of machine learning algorithms and techniques
Programming ProficiencyAdvanced coding skills in Python and C++
Cloud and MLOpsExpertise in cloud platforms, containerization, and ML service deployment

Education

Master's DegreeMaster's in Computer Science, Machine Learning, or related technical field

Experience

Professional Experience5+ years of work experience in machine learning and data engineering
Production SystemsProven track record of launching production ML systems from inception

Skills

Required skills

PythonProficiency in Python programming for machine learning development
Machine LearningExtensive experience in developing and deploying machine learning models
Cloud PlatformsExperience with cloud platforms like AWS, Spark, and Kubernetes
ML FrameworksExpertise in machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn
Large Language ModelsExperience with large language models and agentic workflows

Nice to have

Computer VisionBackground in computer vision and medical image processing
Healthcare AIDomain knowledge in healthcare-specific AI applications
Full-stack MLEnd-to-end machine learning solution development experience

Compensation & benefits

Salary

USD 175,000 – 230,000 (annual)

Benefits

Flexible PTO

Unlimited paid time off policy

Healthcare Coverage

Comprehensive health, dental, and vision insurance

HSA Contribution

Employer contribution to Health Savings Accounts

Parental Leave

Generous parental leave policy

Life Insurance

Full employee life insurance coverage

Remote Work Benefits

Home office stipend and cell phone/internet reimbursement

Retirement Plan

401(K) plan with potential company matching

Interview process

  1. 1
    Initial Screening — HR review of application and resume
  2. 2
    Technical Phone Screen — Conversation with ML engineering team to assess technical skills and experience
  3. 3
    Technical Assessment — Coding and machine learning problem-solving challenge
  4. 4
    Onsite/Virtual Interviews — Multiple rounds with engineering managers, team members, and technical leadership
  5. 5
    Final Interview — Discussion of role alignment, team fit, and potential contributions
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AKASA

AKASA

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AKASA uses artificial intelligence and machine learning to automate health systems and hospital revenue cycle operations, improving efficiency and reducing administrative costs.

South San Francisco, CA, USAFounded 2017akasa.com

Tech Stack

Languages
PythonC++
Frameworks
PyTorchTensorFlowScikit-Learn
Databases
Distributed Databases
Tools
AWSKubernetesSpark
Other
Large Language ModelsMedical Document Processing
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