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Research Engineer - Distributed Training

Research Engineer - Distributed Training

Remote

Research & Development – AI /

Full Time - remote /

Remote

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About CloudWalk:

CloudWalk is building the intelligent infrastructure for the future of financial services. Powered by AI, blockchain, and thoughtful design, our systems serve millions of entrepreneurs across Brazil and the US every day.

Our AI team trains large-scale language models that power real products - from payment intelligence and credit scoring to on-device assistants for merchants.

About the Role:

We’re looking for a

Research Engineer

to design, scale, and evolve CloudWalk’s distributed training stack for large language models. You’ll work at the intersection of research and infrastructure - running experiments across

DeepSpeed, FSDP, Hugging Face Accelerate

, and emerging frameworks like

Unsloth, TorchTitan, and Axolotl.

You’ll own the full training lifecycle: from cluster orchestration and data streaming to throughput optimization and checkpointing at scale. If you enjoy pushing the limits of GPUs, distributed systems, and next-generation training frameworks, this role is for you.

Responsibilities:

Requirements:

Bonus:

Our process is simple:

a deep conversation on distributed systems and LLM training, and a cultural interview.

Competitive salary, equity, and the opportunity to shape the next generation of large-scale AI infrastructure at CloudWalk.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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About CloudWalk

CloudWalk is a global financial services platform revolutionizing financial management for individuals and small to medium-sized businesses through AI-driven solutions.
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