Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer at AKASA, you will work with top experts in the field to develop innovative AI solutions for the healthcare sector, directly impacting customer experiences and outcomes.

In Short

• Develop state-of-the-art ML solutions for healthcare challenges.
• Work with large medical datasets, including structured documents and images.
• Write production-ready software with efficient algorithms.
• Own ML services end-to-end, from problem discovery to deployment.
• Participate in building application-specific ML models.
• Collaborate with ML PhDs and experienced engineers.
• Contribute to a strong Bay Area presence with co-working days.
• Enjoy a culture of inclusivity and innovation.
• Receive competitive compensation and benefits.
• Join a recognized best workplace for remote workers.

Requirements

• Master's degree in Computer Science or similar.
• 5+ years of experience in machine learning and data engineering.
• Experience launching production systems.
• Proficiency in Python and C++.
• Development experience with cloud platforms like AWS.
• Knowledge of ML frameworks such as Scikit-Learn and TensorFlow.
• Full-stack development experience for ML solutions.
• Ideal experience with Large Language Models.

Benefits

• Unlimited paid time off (PTO).
• Comprehensive health, dental, and vision coverage.
• Employer contributions to Health Savings Accounts (HSA).
• Generous parental leave policy.
• Full employee coverage for life insurance.
• Company-paid holidays and 401(K) plan.