ML Software Engineer I: Build Reusable AI Tools

Crowe; Los Angeles (CA); On-site; USD 62,000 - 100,000; Full time

Job summary

Crowe in Los Angeles is seeking a data science/software engineer to help build generalizable toolkit libraries and services for ML products. You will collaborate with data scientists to move models from prototype to production and champion toolkit adoption across projects.

You will contribute to reusable software components, maintain quality documentation, and advance our culture of reuse with robust engineering practices and scalable solutions.

Qualifications

• Strong programming experience with Python; Linux familiarity.
• Experience in software engineering and data structures.
• Comfort with Docker and RESTful APIs for service delivery.
• Ability to work autonomously and communicate with mixed technical audiences.
• Experience with cloud computing and distributed systems is a plus.

Responsibilities

• Develop libraries and services to address common ML requirements.
• Collaborate with data scientists to move models from prototype to production.
• Promote and adopt Toolkit libraries and services across projects.
• Define problems within the codebase and identify reuse opportunities.
• Contribute to robust software engineering practices and documentation.

Skills

Python

Linux

Docker

RESTful APIs

C/C++

Go

Cloud computing

CI/CD

Communication

Autonomy

Tools

Docker

Kubernetes

CI/CD pipelines

Job description

Crowe in Los Angeles is seeking a data science/software engineer to help build generalizable toolkit libraries and services for ML products. You will collaborate with data scientists to move models from prototype to production and champion toolkit adoption across projects.

You will contribute to reusable software components, maintain quality documentation, and advance our culture of reuse with robust engineering practices and scalable solutions.