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Senior Software Engineer, Machine Learning 212 views

About AKASA

AKASA is building the future of Healthcare with AI.
They’re on a mission to remedy the financial complexity crippling healthcare in America.
Their 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, they 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.
They are growing rapidly and they’ve built a cross-functional skillset deep into the DNA of the company. They have technology experts from top Silicon Valley technology companies (Google, Facebook, etc) and machine learning Ph.D. programs (Stanford, etc). They also have senior leaders from the frontlines of healthcare with decades of experience leading teams at prominent healthcare institutions in the US. And they have a deep bench of talent from healthcare services firms like the Advisory Board, Optum, and Triage Consulting.
If you love to execute, they’d love to hear from you. They take a very mindful approach to building a culture that is flexible, diverse, and inclusive. They approach their work thoughtfully, learn quickly, improve constantly, and celebrate their wins. Everyone is welcome — as an inclusive workplace, their 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 their 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 their 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, they embraced remote work before COVID-19. They consider themselves experts in working collaboratively wherever their 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 AKASA Offers:

    • 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.
They 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. They are proud to be an equal opportunity workplace.

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