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, 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. has offices in New York and Tel Aviv. For more information.
About the Role & Responsibilities
Join research engineering team as a senior software engineer.
The research engineering team is responsible for developing data and model pipelines for research department.
The team focuses on ensuring that researchers have the best-in-class infrastructure for building and delivering data science and machine learning.
As a research software engineering tech lead you will be responsible for designing and implementing core flows in the team. You will also mentor junior developers and lead through technical excellence.
About the Role & Responsibilities
Join research engineering team as a senior software engineer.
The research engineering team is responsible for developing data and model pipelines for research department.
The team focuses on ensuring that researchers have the best-in-class infrastructure for building and delivering data science and machine learning.
As a research software engineering tech lead you will be responsible for designing and implementing core flows in the team. You will also mentor junior developers and lead through technical excellence.
Requirements:
8+ years of programming experience.
Knowledge of Python.
Experience in developing and maintaining applications at scale.
Proven ability to work in teams.
Proven technical leadership skills.
Bonus: experience in performance optimization.
Bonus: knowledge of data science frameworks such as numpy and scikit-learn.
8+ years of programming experience.
Knowledge of Python.
Experience in developing and maintaining applications at scale.
Proven ability to work in teams.
Proven technical leadership skills.
Bonus: experience in performance optimization.
Bonus: knowledge of data science frameworks such as numpy and scikit-learn.
This position is open to all candidates.
