Description:

The Machine Learning Engineer will focus on creating specialized software for specific ML use cases with broad applications.
The role involves utilizing existing library frameworks to develop scalable software solutions for industrial purposes.
Enhancing the reliability, quality, and time-to-market of the software suite is a key objective.
Monitoring system performance to meet customer needs and drive innovation is essential.
Managing the production environment by ensuring system health and availability.

Requirements:

Proficiency in Python, Rust, and specialized Cuda kernels Frameworks (transformers, Keras, or PyTorch).
Experience in developing software for machine learning use cases.
Strong understanding of industrial-level software development.
Ability to optimize system performance and reliability.
Experience in monitoring and managing production environments.

Opportunity to work with talented professionals in a collaborative and stimulating environment.
Reimbursement for relevant conferences, training, and education to support professional development.
Flexible working hours and remote options.
Health, dental, and vision benefits for employees and their dependents.
Flexible parental leave and paid time off.
Company equity as part of the compensation package.
Support for remote employees with the opportunity to visit office spaces in NYC and Paris.
Contribution to a community supporting the ML/AI field.