AI Researcher — AI Architecture Research

Overview

Featherless AI is seeking an AI Researcher to focus on AI architecture research. This position plays a crucial role in designing, analyzing, and advancing next-generation model architectures. The researcher will span the interface between theoretical research and practical application, contributing to innovations that will directly influence the deployment of AI models rather than just serving as benchmarks.

Key Responsibilities

In the role of AI Researcher, candidates will engage in a range of activities that include:

• Research and design novel AI architectures, which may involve developing alternatives to standard Transformer designs, enhancing long-context models, and innovating hybrid architectures.
• Evaluate architectural improvements focusing on scalability, efficiency, and stability of AI models.
• Prototype and evaluate new architectures through ablations, benchmarks, and empirical studies.
• Author and co-author research papers targeting prestigious ML conferences and journals, thereby contributing to the academic community while improving the commercial applications of research-driven AI.
• Collaborate closely with engineering teams to ensure effective transitions from theoretical concepts to training and inference systems.
• Stay updated with the latest trends and maintain knowledge of state-of-the-art research, along with identifying potentially promising directions for future exploration.

Required Skills

Candidates for this position need to possess a strong foundation in several areas within machine learning research, particularly focusing on the following:

• A solid publication record in reputable ML/AI venues such as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, and arXiv.
• An in-depth understanding of neural network architectures, particularly sequence models and attention mechanisms.
• Proficiency with training dynamics and optimization techniques.
• Hands-on experience using PyTorch or JAX is essential for implementing the necessary algorithms and conducting machine learning experiments.
• Strong analytical abilities to design clean experiments and communicate results effectively.
• Adaptability to excel in a fast-moving startup environment is necessary for success in this role.

Nice to Have: Experience with non-Transformer architectures, contributions to open-source research, and familiarity with memory-efficient models, including efficient training or inference-aware architecture design are also considered advantageous.

Salary and Benefits

While specific salary details were not mentioned, Featherless AI offers competitive compensation paired with meaningful equity. This framework is designed not only to attract high-caliber talent but also to ensure that team members are invested in the company’s success and future growth.

Work Environment

This role promises high ownership over research directions and a clear path to publishing impactful work. The work environment is characterized by a tight feedback loop between ongoing research and real-world deployment, allowing researchers to visibly see their contributions in action. Team members operate within a small, yet highly technical team distinguished by its strong research culture.

Conclusion

This position represents a compelling opportunity for anyone passionate about pioneering the future of AI architecture while enjoying the dynamic challenges found within a startup. To thrive in this role, candidates should be eager to push the boundaries of what is possible in AI, while also enjoying hands-on participation in building the very systems they research.

For interested applicants, applying to this position at Featherless AI within the United States would mean joining a team that champions innovation and prioritizes impactful research, all within a collaborative and supportive environment.

This job offer was originally published on himalayas.app