Featherless AI
1 - 10 employees
Founded 2023
🤖 Artificial Intelligence
☁️ SaaS
🔌 API
Artificial Intelligence • SaaS • API
Featherless AI is a serverless AI inference and model hosting provider that offers API access to a large and growing catalog of open-weight models (12,200+), enabling developers and businesses to deploy, fine-tune, and run models at scale without managing servers. The company provides flat subscription pricing with unlimited tokens, GPU orchestration, private/anonymous usage (no logs), and options for enterprise self-hosting or scale units for high concurrency. Featherless AI also operates as an AI research lab focused on open-source and post-transformer model research, claiming significant cost and performance improvements for large models and AI agents.
AI Researcher – Multilingual Data
Job not on LinkedIn
🕒 January 23
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Featherless AI
1 - 10 employees
Founded 2023
🤖 Artificial Intelligence
☁️ SaaS
🔌 API
Artificial Intelligence • SaaS • API
Featherless AI is a serverless AI inference and model hosting provider that offers API access to a large and growing catalog of open-weight models (12,200+), enabling developers and businesses to deploy, fine-tune, and run models at scale without managing servers. The company provides flat subscription pricing with unlimited tokens, GPU orchestration, private/anonymous usage (no logs), and options for enterprise self-hosting or scale units for high concurrency. Featherless AI also operates as an AI research lab focused on open-source and post-transformer model research, claiming significant cost and performance improvements for large models and AI agents.
📋 Description
• Design and execute research on multilingual datasets, including data collection, filtering, deduplication, and quality measurement • Develop strategies for low-resource and long-tail languages (sampling, augmentation, curriculum design) • Research and improve cross-lingual transfer, alignment, and robustness in large language models • Build and maintain evaluation benchmarks for multilingual performance • Collaborate with engineers and researchers on training pipelines and model architecture decisions • Publish research at top venues (e.g., ACL, EMNLP, NeurIPS, ICML, ICLR) and contribute to open-source when appropriate • Translate research insights into practical improvements in production models
🎯 Requirements
• Strong background in NLP / ML research, with a focus on multilingual or cross-lingual modeling • Publication record at respected conferences or journals (ACL, EMNLP, NeurIPS, ICML, ICLR, etc.) • Experience working with large-scale text datasets across multiple languages • Solid understanding of: • - Tokenization and vocabulary design for multilingual models • - Data quality metrics, filtering, and dataset bias • - Transfer learning and multilingual representation learning • Comfortable prototyping in Python with modern ML frameworks (PyTorch, JAX, etc.) • Ability to operate independently and ship research in a startup pace environment
🏖️ Benefits
• Real ownership over research direction and impact • A team that values papers and production • Access to meaningful scale: large datasets, modern infrastructure, and fast iteration • Competitive compensation and meaningful equity at an early stage
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