Remote Sr. Machine Learning Engineer

Description:

• AKASA is a leading provider of generative AI solutions for the healthcare revenue cycle, having raised over $205M in funding.
• The company is recognized as one of the fastest-growing GenAI startups and addresses significant challenges in healthcare financial infrastructure.
• The role of Senior Machine Learning Engineer is remote and reports to the Engineering Manager, Machine Learning.
• The engineer will collaborate with machine learning PhDs and experienced engineers from top companies.
• Responsibilities include developing machine learning solutions for large-scale healthcare problems, designing data pipelines, writing production-ready software, and owning machine learning services from end-to-end.
• The position offers the opportunity to make a quick impact and develop state-of-the-art algorithms in areas like computer vision and natural language understanding.

Requirements:

• A Master's degree in Computer Science or a related field is required.
• Candidates must have 5+ years of work experience in machine learning or data engineering.
• Experience in launching production systems from the ground up is essential.
• Proficiency in programming languages such as Python and C++ is required.
• Development experience with big data technologies, including SQL and AWS/Cloud Platform, is necessary.
• Knowledge of machine learning frameworks such as Pytorch and/or Tensorflow is required.
• Full-stack development experience for end-to-end machine learning solutions is preferred.
• Ideal candidates should have experience with Natural Language Processing or Computer Vision.

Benefits:

• The position offers unlimited paid time off (PTO).
• Employees receive expansive coverage for health, dental, and vision insurance.
• There is an employer contribution to Health Savings Accounts (HSA).
• A generous parental leave policy is provided.
• Full employee coverage for life insurance is included.
• Company-paid holidays are offered.
• A 401(K) plan is available for employees.