Remote AI Research Engineer: Agentic Post-Training & Tools

Yo Ai Labs; Santa Fe Capital; A distancia; ARS 136.310.000 - 272.620.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer (Agentic Post-training) for a fully remote role supporting worldwide teams. You will advance post-training for agentic models, enabling tool usage, reasoning, and autonomous external tool invocation on edge devices, spanning text, images, and audio modalities.

You will collaborate across research and engineering to deliver robust, scalable post-training pipelines, with emphasis on evaluation, reliability, and production readiness for major model releases.

Formación

• Degree in Computer Science or ML with publications in AI conferences.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on with distributed training across multi-node GPUs.
• Open-source contributions in agentic systems or tool use.
• Publications at top AI conferences (e.g., NeurIPS, ICML, ICLR).

Responsabilidades

• Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
• Drive cross-cutting model improvements including factuality, instruction adherence, tool use, multi-agent coordination, and reasoning calibration.
• Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
• Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
• Strengthen feedback loops from real-world product usage, incorporating explicit and implicit user signals into post-training.
• Collaborate with tooling, product, and training teams to improve usefulness, reliability, and agentic capabilities of frontier models.
• Closely liaise with research, engineering and cross-functional teams to determine production readiness for major model releases.
• Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred with strong publication record.
• Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.
• Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).
• Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.
• Proven track record of open-source contributions related to agentic systems or tool use on GitHub or Hugging Face.
• Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).

Conocimientos

Agentic post-training

Multimodal reasoning

Tool invocation

Reinforcement learning from feedback

Distributed training

Educación

Degree in Computer Science / Machine Learning

MS/PhD preferred

Herramientas

GitHub

Hugging Face

Descripción del empleo

Tether is seeking an AI Research Engineer (Agentic Post-training) for a fully remote role supporting worldwide teams. You will advance post-training for agentic models, enabling tool usage, reasoning, and autonomous external tool invocation on edge devices, spanning text, images, and audio modalities.

You will collaborate across research and engineering to deliver robust, scalable post-training pipelines, with emphasis on evaluation, reliability, and production readiness for major model releases.