Founding Engineer (Data Platform, Machine Learning) Engineer - Recruiting from Scratch : Job Details

Founding Engineer (Data Platform, Machine Learning) Engineer

Recruiting from Scratch

Job Location : New York,NY, USA

Posted on : 2025-04-29T00:54:11Z

Job Description :
Who is Recruiting from Scratch:

Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire.

Visit our website

About Us

We're transforming health insurance for small and medium-sized businesses across the U.S. Our mission is to make healthcare more affordable by driving innovation at every level of health plan design. We are bringing affordable, high-quality, long-term oriented, and ethical health insurance to employers.

2024 marked our breakthrough year: we hit profitability, found strong market fit, and brought affordable healthcare to more than 200 businesses and their employees.

We're a small but mighty team bringing wide-ranging expertise:

  • Developing mission-critical software at Palantir
  • Scaling a Y Combinator startup from the very first hire to Series A (50+ employees)
  • Creating actuarial models used by major health insurers
  • Leading patient operations teams at a high-growth health plan startup
  • About the Role

    As the Founding Software Engineer | Data Platform, Machine Learning, you will:

  • Build tools that enhance the productivity and data capabilities of our Data Scientists
  • Architect and develop high-performance, scalable backend services powering our AI and ML systems.
  • Scope and spearhead AI and LLM augmentation projects across our product ecosystem.
  • Some of the projects you'll drive:

  • Quoting API Infrastructure: Build and scale the infrastructure that powers our health insurance quoting API, enabling real-time ML inference on trillions of claims records while seamlessly incorporating millions of new data points daily to continuously improve quote accuracy and speed.
  • Automated Document Parsing: Own our data infrastructure for extracting structured content from large-scale document ingestion pipelines using LLMs and other technologies.
  • What We Value:
  • Autonomy and Curiosity: You're eager to learn, can work independently, and thrive when given the freedom to solve problems your way.
  • Judgment and Adaptability: You're skilled at prioritizing projects and making sound decisions in a dynamic, fast-paced environment.
  • Collaboration: You communicate effectively with both technical and non-technical teammates, always keeping the end-user in mind.
  • Ownership: You're ready to own projects end-to-end, from designing architecture to writing clean, maintainable code.
  • Requirements
  • 3+ years of experience as a backend engineer, data engineer, or software engineer with exposure to data pipelines and large-scale infrastructure.
  • Strong understanding of data structures, algorithms, and scalable system design.
  • Demonstrated ability to design secure, robust, and scalable infrastructure for data and backend systems.
  • Hands-on experience with big data tools (e.g., Spark) and pipeline orchestration platforms (e.g., Dagster, Airflow, Prefect).
  • Proficiency in a backend programming language like Python and solid SQL skills for querying and database design.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.
  • Why Join Us?
  • Be part of a team building industry-changing technology that directly impacts our clients and millions of people.
  • Work alongside a talented team that thrives on innovation, transparency, and collaboration.
  • Join a team that pushes each other to excel, supports one another through challenges, and builds each other up to achieve our best work together.
  • Enjoy competitive medical, dental, and vision coverage, plus a generous vacation policy—work hard, recharge when needed, and come back ready to make an impact.
  • Compensation:

    Base: $160-220k base + equity.

    Benefits: 100%-paid health insurance benefits, free lunches in the office, fun company retreats, commuter benefits, etc.

    #J-18808-Ljbffr
    Apply Now!

    Similar Jobs ( 0)