Junior ML Software Engineer: Build Reusable ML Tools

Crowe; New York (NY); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe is seeking a data-focused software engineer to join the Toolkit Team within its Data Science group in the United States. You will build generalizable tools and libraries for machine learning projects, enhance code reuse, and collaborate with data scientists to bring models from prototype to production.

The role emphasizes Python, Linux, RESTful APIs, and modern software engineering practices in a fast-paced, autonomy-rich environment.

Qualifications

• You will code in Python and be comfortable with other languages (C/C++/Go).
• Strong software engineering fundamentals in data structures and algorithms.
• Experience with Linux and RESTful APIs.
• Knowledge of cloud computing, distributed systems, and CI/CD is a plus.
• Excellent communication and collaboration skills across technical and business stakeholders.

Responsibilities

• Execute tasks to achieve the project’s technical vision across development lifecycles.
• Collaborate with data scientists to move ML models from prototype to production.
• Develop libraries and services for common ML tooling and reusable code.
• Advise on tool adoption and promote reuse across projects.

Skills

Python

Docker

Linux

RESTful APIs

C/C++

Go

Cloud computing

Distributed systems

CI/CD

Communication

Tools

Docker

Job description

Crowe is seeking a data-focused software engineer to join the Toolkit Team within its Data Science group in the United States. You will build generalizable tools and libraries for machine learning projects, enhance code reuse, and collaborate with data scientists to bring models from prototype to production.

The role emphasizes Python, Linux, RESTful APIs, and modern software engineering practices in a fast-paced, autonomy-rich environment.