Algorithm Engineer

3 days ago

Tel Aviv, Tel Aviv, Israel In-House Health Full time ₪100,000 - ₪150,000 per year

About In-House Health

In House Health is a seed stage startup that aims to help the global healthcare crisis marked by severe staffing shortages and rising nurses burnout. In-House Health develops a cutting-edge platform that empowers nursing teams to self-manage with unprecedented flexibility. Our innovative solution leverages a predictive AI algorithm to optimize nurse shift assignments.

In-House Health is backed by one of the largest VCs in the world, and the CEO is Ari Brenner, who previously founded a digital health company with a >$1B valuation

About the Role

We're looking for a Senior Algorithm Engineer
to join our team. In this role, you'll be responsible for building, improving, and maintaining our core
data-driven products
. This isn't a traditional data science role; instead, you'll be focused on leveraging classical machine learning, statistical methods, and various AI techniques to build robust solutions that solve real-world problems.

Responsibilities include:

  • Predictive modeling:
    Develop predictive algorithms and statistical models to solve complex healthcare operational challenges
  • Data analysis and insights:
    Analyze complex healthcare data to identify patterns, trends, and opportunities for optimization.
  • AI-driven solutions:
    Use large language models (LLMs) and other AI tools to build and deploy systems that enhance communication and automate tasks.
  • Full lifecycle ownership
    : Take full responsibility for your projects, from initial research and algorithm development to
    owning the backend (BE) implementation
    and ongoing maintenance.
  • Collaboration:
    Work directly with the VP of R&D and other team members to translate business needs into technical solutions.

About You

  • You are highly motivated and excited to work at an early-stage company.
  • You have
    3+ years of experience
    in a similar role (e.g., algorithm engineer, machine learning engineer, or data scientist).
  • You have a strong understanding of
    classical machine learning
    algorithms, statistical analysis, and data modeling.
  • You have hands-on experience with
    Python
    and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
  • You can quickly translate ideas into working solutions and enjoy building new products from the ground up.

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