At Prime Intellect, we are on a transformative mission to accelerate the progress of open and decentralized AI. Our vision is to enable global contributions of compute, code, and capital to train powerful, open models, with the ultimate goal of creating Artificial General Intelligence (AGI) that is accessible to all. We can’t achieve this ambitious goal alone—we need innovative minds like yours to help us get there.
We are building the infrastructure for scalable decentralized AI development by aggregating global compute resources and enabling researchers to train state-of-the-art models through distributed training across clusters. As a Research Engineer focused on Distributed Training, you will play a pivotal role in shaping our technology and optimizing the efficiency of our training processes.
Responsibilities: Your Role and Impact
In this role, you will:
Lead and Innovate: Spearhead research to develop a highly reliable and secure decentralized training orchestration solution at a massive scale.
Optimize Performance: Enhance the performance, cost-effectiveness, and resource utilization of AI workloads by applying the latest compute and memory optimization techniques.
Develop Open-Source Solutions: Contribute to our open-source libraries and frameworks designed for distributed model training, advancing the tools and resources available to the AI community.
Publish and Communicate: Share your research outcomes by publishing in top-tier AI conferences such as ICML and NeurIPS. Also, translate complex technical results into accessible content through technical blogs for our customers and developers.
Stay Ahead of the Curve: Keep up-to-date with the latest advancements in AI/ML infrastructure, decentralized training research, and identify opportunities to enhance our platform’s capabilities and user experience.
Requirements: What We’re Looking For
We seek candidates who possess:
Strong AI/ML Engineering Background: Extensive experience in designing and implementing end-to-end pipelines for training and deploying large-scale AI models.
Expertise in Distributed Training: Deep knowledge of distributed training techniques and frameworks (e.g., PyTorch Distributed, DeepSpeed, MosaicML’s LLM Foundry) and tools (e.g., Ray) to optimize AI workload performance and scalability.
Experience with Large-Scale Model Training: Proficiency in distributed training techniques, including data, tensor, and pipeline parallelism.
Understanding of MLOps Practices: Solid grasp of best practices in model versioning, experiment tracking, and continuous integration/deployment (CI/CD) pipelines.
Passion for AI Democratization: Enthusiasm for advancing decentralized AI model training and making AI capabilities more accessible to researchers, developers, and businesses worldwide.
If you’re new to some of these areas but are eager to contribute to our mission and have the drive to learn, we encourage you to get familiar with these resources and reach out!
Benefits & Perks: What We Offer
We provide a competitive and comprehensive benefits package, including:
Competitive Compensation: Includes equity and token incentives, aligning your success with the growth and impact of Prime Intellect.
Flexible Work Arrangements: Options to work remotely or from our offices in San Francisco or Berlin.
Visa Sponsorship and Relocation Assistance: Support for international candidates to facilitate relocation and work with us.
Quarterly Team Events: Participate in team off-sites, hackathons, conferences, and learning opportunities to stay connected and engaged.
Talented Team: Join a dynamic, hard-working team driven by a shared passion for leveraging technology to accelerate science and AI.
With our recent $5.5 million seed round funding from renowned investors like Clem from HuggingFace and Dylan Patel from SemiAnalysis, Prime Intellect is set for rapid growth and innovation.
Excited to Make a Difference?
If you’re eager to help build the foundation for the future of decentralized AI and create a platform that empowers researchers and developers, we want to hear from you. Apply now to become a Research Engineer in Distributed Training at Prime Intellect and be part of a groundbreaking effort to push the boundaries of AI.
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