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Machine Learning Engineer, Fast Optimized Inference - EMEA Remote

Posted 23 weeks ago
Software Development
Full Time
France

Overview

As a Machine Learning Engineer at Hugging Face, you will work on creating specialized software for real-world ML use cases, contributing to the advancement of AI technologies.

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.
  • Measure and optimize system performance.
  • Manage the production environment and ensure system health.
  • Collaborate with a progressive and decentralized team.
  • Work with talented professionals in a stimulating environment.
  • Contribute to open-source libraries.
  • Participate in a culture valuing diversity 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.
  • Passion for AI and machine learning.
  • Ability to work collaboratively in a distributed team.
  • Strong problem-solving skills.
  • Interest in developing real-world solutions.
  • Experience in software development.
  • Ability to measure and optimize system performance.
  • Willingness to learn and grow continuously.
  • Commitment to diversity and inclusivity.

Benefits

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

Hugging Face

Hugging Face is a leading company in the field of artificial intelligence and natural language processing, known for its commitment to open-source technology and community-driven development. The company provides a platform that enables developers and researchers to build, share, and deploy machine learning models, particularly in the realm of conversational AI. Hugging Face is recognized for its innovative tools and libraries, such as Transformers, which facilitate the use of state-of-the-art models in various applications. With a focus on collaboration and accessibility, Hugging Face aims to democratize AI and empower users to harness the power of machine learning.

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