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AI/Machine Learning Engineer (Senior+)
San Francisco, CA
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About Us:

Our mission is to make AI more accessible by eliminating computing power barriers through our Open-Access AI Cloud. By leveraging underutilized computing resources worldwide, we have built an innovative GPU marketplace and AI inference service that prioritize affordability and accessibility. As pioneers at the intersection of AI and open-source technology, we believe AI innovation should be driven by creativity rather than resource constraints.


As we gear up for significant growth with our seed round, backed by industry leaders, our team (led by co-founders with PhDs in AI, Math, and CS) is positioned to redefine the future of computing. We are looking for ambitious individuals who share our passion for making AI universally available, secure, and cost-effective. Join us in developing a platform that empowers innovators to bring their AI-driven ideas to life.


Skills and Qualifications:

  • Solid grounding in software development, with prior experience driving or playing a key role in projects involving intelligent systems.
  • Have worked on distributed inference/fine-tuning for LLMs and diffusion models
  • Have practical skills in training, fine-tuning, and deploying neural networks.
  • Understand ML performance profiling and optimization, including graph-level optimizations.
  • Are familiar with common neural network architectures and operators.


Nice to Have:

  • Exposure to compiler-level tools for ML workloads; prior use of tools like those designed for tensor-level (TVM) optimizations is a strong plus.
  • Experience developing or modifying low-level GPU codebases/kernels or working within frameworks for parallel model execution. Such as CUDA, NCCL, Pytorch, Tensorflow.
  • Some understanding of peer-oriented communication protocols or building systems that span decentralized cloud components.


Why Join Us?

  • Our team is small with lot's of room to make an impact/grow
  • Product market fit. Our platform has grown from $0 to $750k in revenue per year over just a few months
  • Open source research, contribution and leadership opportunities
  • Constant ideation and product engineering opportunities. The team recently launched a first of it's kind infra management OS.
  • Impact for technical users. Our Golang based system manages multi-cluster ArgoCD federations, automating complex DevOps tasks at scale, without needing a full team behind it.


Compensation & Benefits:

  • Upwards of $250,000 USD base salary per year
  • Equity/token grant incentives
  • Healthcare
  • Flexible PTO
  • and more...


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