ML Engineer Research Department New Tel Aviv, Israel - Los Angeles California

Company: Tbwa Chiat/Day Inc
Location: Los Angeles, California
Posted On: 01/28/2025

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit .About the RoleWe're looking for a talented engineer to bridge the gap between research and development, playing a key role in our cutting-edge Machine Learning and Data Science teams. In this role you will be a single developer in a research team, while strongly collaborating with other engineers in the company.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.Our TeamPagaya 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.We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.Join a team of builders who are working every day to enable better outcomes for our partners and their customers.Our ValuesOur values are at the heart of everything we do. We believe great solutions are built through a great community.
    • Advance Inclusion - We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
    • 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.More than just a jobWe believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life.Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as we are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.
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