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Pagaya ML Engineer Research DepartmentNew 
Israel, Tel Aviv District, Tel Aviv-Yafo 
873528611

26.01.2025

What will you do?

  • Lead the design and development of tools to improve researchers’ workflows, including ETLs and frameworks for evaluation, plotting and model explainability
  • Conduct design and code reviews for research-based solutions, playing a key role in bringing research ideas to production
  • Refactor and generalize researcher notebooks into reusable, scalable and optimized infrastructure designed to serve a broader audience effectively
  • Manage and enhance model training pipelines and experiment tracking systems for state-of-the-art proprietary algorithms

Requirements

  • B.Sc. in computer science / mathematics / electrical engineering, or equivalent experience.
  • 4+ years of backend or data engineering experience
  • 2+ years of hands-on programming experience in Python
  • Highly independent, with a strong ability to define and prioritize tasks effectively
  • Excellent interpersonal skills, capable of understanding peer needs and requirements
  • Proven ability to work in teams
  • Bonus: familiarity of data science frameworks such as numpy and scikit-learn

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

  • Advance Inclusion
  • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
  • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
  • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
  • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.