Research Engineer - Distributed Training

November 22

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Prime Intellect

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

Description

• At Prime Intellect, we are on a mission to accelerate open and decentralized AI progress by enabling anyone to contribute compute, code or capital to train powerful, open models. • We are building the infrastructure for decentralized AI development at scale. • As a Research Engineer working on Distributed Training, you'll play a crucial role in shaping our technological direction, focusing on our decentralizing AI training stack.

Requirements

• Strong background in AI/ML engineering, with extensive experience in designing and implementing end-to-end pipelines for training and deploying large-scale AI models. • Deep expertise in distributed training techniques, frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML’s LLM Foundry), and tools (e.g. Ray) for optimizing the performance and scalability of AI workloads. • Experience in large-scale model training incl. distributed training techniques such as data, tensor & pipeline parallelism • Solid understanding of MLOps best practices, including model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines. • Passion for advancing the state-of-the-art in decentralized AI model training and democratizing access to AI capabilities for researchers, developers, and businesses worldwide. • If you're not familiar with these, but feel like that you can contribute to our mission and you're a high-energy person, get familiar with these resources.

Benefits

• Competitive compensation, including equity and token incentives, aligning your success with the growth and impact of Prime Intellect. • Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco. • Visa sponsorship and relocation assistance for international candidates. • Quarterly team off-sites, hackathons, conferences and learning opportunities. • Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.