Postúlate en Kit Empleo: kitempleo.com.ar/empleo/ng9fe

This position is posted by Jobgether on behalf of a partner company.
We are currently looking for a AI Research Engineer - Pre training in Argentina.
This role sits at the core of next-generation AI model development, focusing on advancing large-scale pre-training systems that power state-of-the-art intelligence.
You will work on cutting-edge architectures spanning small, large, and multimodal models, directly influencing model capability, efficiency, and scalability.
Operating in a highly research-driven and distributed engineering environment, you will help push the boundaries of what modern AI systems can achieve.
The position combines deep scientific exploration with hands-on engineering on massive GPU clusters.
You will design and optimize training pipelines that run across thousands of NVIDIA GPUs, ensuring performance at scale.
This is an opportunity to contribute to foundational AI breakthroughs while collaborating with world-class researchers and engineers in a fast-paced, innovation-focused setting.
Accountabilities
In this role, you will lead and contribute to the development of large-scale pre-training systems and model architectures that enhance intelligence and efficiency.
You will design experiments, build scalable training frameworks, and improve model performance through iterative research and engineering work.
Conduct large-scale pre-training of AI models on distributed GPU clusters, ensuring scalability, stability, and performance
Design, prototype, and optimise novel model architectures, including transformer and non-transformer approaches
Run experiments, analyse results, and refine methodologies to improve training efficiency and model quality
Identify and resolve bottlenecks in training systems, data pipelines, and model performance




Improve distributed training infrastructure to support next-generation AI workloads
Collaborate with researchers and engineers to translate experimental ideas into production-ready training systems
Contribute to the evolution of high-performance AI training systems and frameworks
Requirements
The idóneo candidate has deep expertise in AI research and large-scale model training, with strong technical foundations in machine learning, distributed systems, and deep learning frameworks.
You should be comfortable working in highly complex, GPU-intensive environments and driving research from concept to implementation.
PhD or strong academic/research background in Computer Science, Machine Learning, NLP, or related fields (preferred)
Hands-on experience with large-scale LLM pre-training on distributed GPU infrastructure (thousands of GPUs)
Strong understanding of transformer architectures and advanced model design techniques
Experience with distributed training frameworks and large-scale AI systems
Proficiency in PyTorch and Hugging Face ecosystem for model development and training
Strong skills in debugging, optimising, and improving model and system performance
Ability to design experiments, interpret results, and iterate on research hypotheses
Strong collaboration and communication skills in research-driven environments
Benefits
Competitive compensation package aligned with AI research market standards
Remote-friendly and globally distributed work environment
Opportunity to work on frontier AI research at massive scale
Access to high-performance computing infrastructure and large GPU clusters
Collaborative environment with top-tier AI researchers and engineers
High autonomy in research direction and experimentation
Exposure to state-of-the-art AI systems and multimodal model development
Professional growth in a fast-evolving, innovation-driven AI ecosystem
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/ng9fe

📌 Ai Research Engineer - Pre Training (Godoy Cruz)
🏢 Jobgether
📍 Godoy Cruz