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Machine Learning Engineer in the Optimization team - EMEA remote

Posted 25 weeks ago
Software Development
Full Time
France

Overview

Hugging Face is on a mission to democratize AI by building a platform for AI builders, focusing on workload efficiency and advanced machine learning models.

In Short

  • Join the Hugging Face Special Ops team.
  • Bridge transformers models with AI hardware.
  • Ensure model performance meets expectations.
  • Design user-friendly Developer Experience.
  • Deploy models efficiently and scalably.
  • Work at the intersection of software engineering and machine learning.
  • Integrate features from hardware partners in Python/C++.
  • Focus on performance optimization.
  • Experience with Linux or embedded devices is a plus.
  • Be part of a diverse and inclusive culture.

Requirements

  • Strong background in software engineering.
  • Experience with machine learning frameworks.
  • Proficiency in Python and C++.
  • Knowledge of low-level system integrations.
  • Familiarity with compiler support and optimizations.
  • Experience with Linux or embedded systems.
  • Ability to design APIs for performance.
  • Interest in AI and machine learning technologies.
  • Strong problem-solving skills.
  • Team player with a collaborative mindset.

Benefits

  • Flexible working hours and remote options.
  • Health, dental, and vision benefits.
  • Parental leave and flexible paid time off.
  • Reimbursement for conferences and training.
  • Company equity as part of compensation.
  • Supportive and inclusive workplace culture.
  • Opportunity to work with industry experts.
  • Access to office spaces in NYC and Paris.
  • Workstation outfitting for remote employees.
  • Engagement with the ML/AI community.
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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