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Machine Learning Engineer in the Optimization team - US Remote

Posted 25 weeks ago
Software Development
Full Time
United States

Overview

Hugging Face is on a mission to democratize good 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.
  • Flexible working hours and remote options available.

Requirements

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

Benefits

  • Health, dental, and vision benefits.
  • Flexible paid time off and parental leave.
  • Reimbursement for conferences and training.
  • Company equity as part of compensation.
  • Support for remote workstations.
  • Opportunity to visit office spaces in NYC and Paris.
  • Inclusive and diverse workplace culture.
  • Community support for ML/AI advancements.
  • Work with industry-leading professionals.
  • Focus on continuous growth and development.
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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