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Sciforium

Serverless AI inference platform

Senior Research Scientist

AI ResearchConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • A PhD in Computer Science, Machine Learning, AI, Mathematics, or a related field is required.
  • At least 5 years of academic or industry research experience, with flexibility for exceptional fresh PhDs from top programs.
  • A proven track record of impactful research, demonstrated by publications in NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or similar top-tier venues.
  • Strong coding proficiency in Python, with deep experience in PyTorch and/or JAX.
  • Experience with debugging, performance profiling, and speed optimization.
  • Expertise in distributed training at scale.

Responsibilities

  • Lead research in advanced machine learning areas including large language models, generative AI, foundational modeling, optimization techniques, diffusion models, and novel Transformer architectures.
  • Design, implement, and evaluate novel machine learning algorithms using frameworks such as PyTorch and JAX.
  • Conduct large-scale distributed training experiments using multi-GPU/TPU systems and modern compute infrastructure.
  • Drive performance improvements through framework debugging, speed optimization, and training pipeline enhancements.
  • Produce research output including papers, internal reports, patents, and reproducible code.
  • Collaborate with engineering and product teams to translate research prototypes into scalable production systems.
  • Stay current with research developments and integrate state-of-the-art techniques into the company's AI roadmap.
  • Mentor junior researchers and contribute to building an AI research culture.

Desired Qualifications

  • Extensive experience with the JAX/Flax/XLA stack.
  • Experience with efficient model serving, inference optimization, model compression, or production machine learning systems.
  • Hands-on research or engineering experience with diffusion models or generative modeling.
  • Experience contributing to product development or collaborating with cross-functional engineering teams.
  • Open-source contributions to major machine learning frameworks or libraries.

About the Company

Sciforium

Serverless AI inference platform

Sciforium builds an AI infrastructure stack that makes large-scale AI cheaper and easier to deploy. It offers a serverless AI inference platform that exposes access to a mix of open-source and proprietary models through a single API, running on Sciforium’s own optimized AMD hardware. By owning the hardware, platform, and models, the company provides lower costs, faster performance, and better data privacy than shared-cloud setups. Its goal is to simplify and accelerate production-ready AI deployment while reducing costs and complexity for large-scale multimodal models, and it is exploring byte-native foundation models to improve efficiency.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2024

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