Open Source ML Engineer

Best AI Tools Wiki; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive equity package

Remote-first global culture

Health insurance

Home office budget

Conference speaking opportunities

4-day work week option

Job summary

Hugging Face is hiring an Open Source ML Engineer to build and maintain core libraries including Transformers, Diffusers, and Datasets. You will collaborate with the global ML community, review contributions, and develop new features that make AI more accessible.

Join a remote-first, international culture with opportunities to contribute to widely-used ML tooling and help shape the future of open-source AI software.

Qualifications

• 3+ years of software engineering experience with a focus on ML.
• Strong proficiency in Python and modern ML frameworks.
• Active participation in open-source communities.
• Experience with transformer architectures and modern ML techniques.

Responsibilities

• Build and maintain core libraries including Transformers, Diffusers, and Datasets.
• Collaborate with the global ML community, review contributions, and develop new features that make AI more accessible.

Skills

ML engineering experience

Python

Open-source contributions

Transformer architectures

ML frameworks

Job description

Hugging Face is hiring an Open Source ML Engineer to build and maintain core libraries including Transformers, Diffusers, and Datasets. You will collaborate with the global ML community, review contributions, and develop new features that make AI more accessible.

Requirements

• 3+ years of software engineering experience with a focus on ML
• Strong proficiency in Python and modern ML frameworks
• Active participation in open-source communities
• Experience with transformer architectures and modern ML techniques

Nice to Have

• Contributions to Hugging Face repositories
• Experience with model hubs and ML model distribution
• Background in developer advocacy or education
• Familiarity with Rust for performance-critical components

• Competitive equity package
• Remote-first global culture
• Health insurance
• Home office budget
• Conference speaking opportunities
• 4-day work week option