Senior Software Engineer, Machine Learning

About AKASA

We're on a mission to remedy the financial complexity crippling healthcare in America.

Our aim is to organize and use all healthcare information to reduce the cost of care and improve the patient experience.

As the only Unified Automation™ company for healthcare, we use the same machine learning approaches that made driverless cars possible to provide health systems with a single solution for core operational management. AKASA's unique expert-in-the-loop approach, Unified Automation, combines modern machine learning with human judgment and subject matter expertise to provide resilient automation. AKASA brings together the best of people, data and technology to efficiently, accurately and autonomously navigate the complex state of medical reimbursement in the United States.

We are growing rapidly and we've built a cross-functional skill set deep into the DNA of the company. We have technology experts from top Silicon Valley technology companies (Google, Facebook, etc... and machine learning PhD programs (Stanford, etc). We also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And we have a deep bench of talent from healthcare services firms like the Advisory Board, Optum and Triage Consulting.

If you love to execute, we'd love to hear from you. We take a very mindful approach to building a culture that is flexible, diverse and inclusive. We approach our work thoughtfully, learn quickly, improve constantly, and celebrate our wins. Everyone is welcome — as an inclusive workplace, our employees are comfortable bringing their authentic whole selves to work. Be you.

About the Role

As a remote Senior Software Engineer, Machine Learning, you'll report to our CTO and work with machine learning PhDs from top schools (e.g., Stanford), and experienced machine learning engineers from top companies (e.g., Google). You will put machine learning into practice, so your code directly affects our customers immediately. You will work with large proprietary medical and clinical datasets containing both structured documents, natural language and images.

AKASA is based in South San Francisco. As a company, we embraced remote work before COVID-19. We consider ourselves experts in working collaboratively wherever our team members happen to reside.

What You'll Do:

• Participate in developing state-of-art machine learning solutions to address large-scale healthcare problems
• Develop pipelines that collect, preprocess, and deliver data with a measurable quality
• Write production-ready software with fast and efficient algorithms
  Skills & Qualifications:
• Master's degree in Computer Science or similar
• 5+ years of work experience in machine learning or data engineering
• Have experience launching production systems from the ground up
• Proficiency in one or more programming languages such as Python and C++
• Development experience with big data technologies such as SQL and AWS/Cloud Platform
• Knowledge of machine learning frameworks such as Scikit-Learn, Keras, Tensorflow
• Full-stack development experience for an end-to-end machine learning solution
• Ideal experience with Natural Language Processing or Computer Vision
  What We Offer:
• Work with an experienced and complementary founding team consisting of serial entrepreneurs, AI experts and healthcare industry leaders
• Contribute to category-defining products that transform healthcare operations
• Great compensation package and equity grants
• Generous coverage for health, dental and vision insurance
• Full employer coverage for life insurance
• 401k Plan
• Free membership to One Medical (Concierge Clinic) for you and your family (if you are in a region covered by One Medical)
• Unlimited Personal Time Off (PTO)
• Bonus Company-Wide "Sanity Days" and other time off
• Flexible schedules. Employees at all levels have reasonable discretion over their own time.We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace