
About Yotta Labs
Make saving money fun and rewarding
Key Highlights
- 600,000+ users with $16 million in prizes paid out
- $26.7 million raised in Series A funding
- Located in Union Square, New York, NY
- Innovative savings model that offers prize draws
Yotta is a personal finance app based in Union Square, New York, that aims to transform how Americans save money. By offering a unique savings model that pools interest to provide prize draws instead of traditional interest payments, Yotta has attracted over 600,000 users and paid out $16 million in...
🎁 Benefits
Yotta provides full medical, dental, and vision insurance, unlimited PTO, a 401k program, and an annual company offsite event. Employees enjoy free lu...
🌟 Culture
Yotta's culture is centered around innovation in personal finance, making savings engaging and rewarding. The company values creativity and aims to ad...
Skills & Technologies
Overview
Yotta Labs is hiring a Research Engineer to develop a Decentralized Operating System for AI workload orchestration. You'll work with Python and distributed systems to optimize AI workloads across a network of GPUs. This position requires proficiency in AI programming languages and experience with decentralized computing.
Job Description
Who you are
You have a strong background in AI programming languages, particularly Python, and are passionate about decentralized systems and AI infrastructure. Your experience with distributed systems and cloud computing enables you to tackle complex challenges in optimizing AI workloads across heterogeneous networks of GPUs. You thrive in collaborative environments, engaging with cross-functional teams to integrate support for various large language models and AI applications. Your commitment to high availability and fault tolerance in decentralized computing environments drives your work, ensuring that systems are robust and efficient.
You are eager to contribute to open-source projects and engage with the developer community, sharing your knowledge and learning from others. You understand the importance of democratizing access to AI resources and are motivated by the mission of Yotta Labs to enable high-performance computing for AI training and inference. You are adaptable and enjoy a flexible remote work environment that values innovation and autonomy.
What you'll do
In this role, you will design and implement components of the Decentralized Operating System (DeOS) for efficient AI workload orchestration. Your responsibilities will include developing and optimizing software for managing geo-distributed, heterogeneous GPU resources, ensuring that AI applications deployed on our platform are scalable and performant. You will collaborate closely with cross-functional teams to integrate support for various large language models and AI models, contributing to the overall success of the platform.
You will also ensure high availability and fault tolerance in decentralized computing environments, addressing challenges that arise in such systems. Your contributions will directly impact the scalability and performance of AI applications, making a significant difference in how AI resources are utilized globally. Engaging with the developer community and contributing to open-source projects will be an essential part of your role, allowing you to share your expertise and learn from others in the field.
What we offer
Yotta Labs provides a flexible and remote work environment that values innovation and autonomy. You will have the opportunity to work on cutting-edge technology that aims to democratize access to AI resources. We encourage you to apply even if your experience doesn't match every requirement, as we believe diverse teams build better products. Join us in our mission to transform AI workload orchestration at a planetary scale.
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