Machine Learning Engineer, Fast Optimized Inference - US Remote

Overview

As a Machine Learning Engineer at Hugging Face, you will create specialized software for real-world ML use cases, contributing to the development of AI technologies in a collaborative environment.

In Short

• Develop specialized software for specific machine learning (ML) use cases.
• Utilize existing library frameworks for scalable software solutions.
• Enhance reliability, quality, and time-to-market of software suite.
• Measure and optimize system performance.
• Manage the production environment and ensure system health.
• Collaborate with a progressive and decentralized team.
• Contribute to the advancement of AI technologies.
• Work with talented professionals in a stimulating environment.
• Participate in a culture that values diversity, equity, and inclusivity.
• Enjoy flexible working hours and remote options.

Requirements

• Proficient in Python, Rust, and specialized Cuda kernels.
• Experience with frameworks like Keras or PyTorch.
• Passionate about Machine Learning and AI.
• Ability to work collaboratively in a distributed team.
• Strong problem-solving skills.
• Interest in developing real-world solutions.
• Experience in software development for industrial applications.
• Ability to monitor and manage production environments.
• Willingness to continuously grow and learn.
• Commitment to diversity and inclusivity in the workplace.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits for employees and dependents.
• Flexible parental leave and paid time off.
• Reimbursement for relevant conferences, training, and education.
• Company equity as part of compensation.
• Support for community collaboration in ML/AI.
• Opportunity to visit office spaces in NYC and Paris.
• Workstation outfitting for remote employees.
• Culture that values development and impact.
• Equal opportunity employer with a commitment to diversity.