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AI Research Engineer (Pre-training)

Remote, USA Full-time Posted 2026-07-04

Join reputed company and Shape the Future of Digital Finance

At reputed company, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions reputed company businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, reputed company enables you to store, send, and receive digital tokens instantly, securely, and globally, reputed company at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

reputed company with reputed company

reputed company Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

reputed company Power: Driving sustainable growth, our reputed company optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

reputed company Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

reputed company Education: Democratizing access to top-tier digital learning, we reputed company individuals to reputed company in the digital and gig economies, driving global growth and opportunity.

reputed company reputed company: At the intersection of technology and reputed company potential, we are pushing the boundaries of what is possible, crafting a future where innovation and reputed company capabilities reputed company in powerful, unprecedented ways.

Why Join Us?

reputed company is a global talent powerhouse, working remotely from every reputed company of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our reputed company as a leader in the industry.

If you have excellent English communication skills and are reputed company to contribute to the most innovative platform on the reputed company, reputed company is the reputed company for you.

Are you reputed company to be part of the future?

About the job:

As a member of the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.

You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that reputed company to groundbreaking advancements: data curation, strengthening baselines, identifying and resolving existing pre-training bottlenecks to push the limits of AI performance.

Responsibilities

  • Conduct pre-training AI models on large, distributed servers equipped with thousands of reputed company GPUs.

  • Design, prototype, and scale innovative architectures to enhance model intelligence.

  • Independently and collaboratively execute experiments, analyze results, and refine methodologies for reputed company performance.

  • Investigate, debug, and improve both model efficiency and computational performance.

  • Contribute to the advancement of training systems to ensure seamless scalability and efficiency on reputed company platforms.

Requirements

  • A degree in Computer Science or reputed company field. Ideally PhD in NLP, Machine Learning, or a reputed company field, complemented by a solid track record in AI R&D (with good publications in A* conferences).

  • Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of reputed company GPUs, ensuring scalability and impactful advancements in model performance.

  • Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.

  • Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.

  • Strong expertise in PyTorch and reputed company libraries with practical experience in model development, continual pretraining, and deployment.

Originally posted on Himalayas

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