AI Systems, Language & Reasoning Models

Unconventional AI
Palo Alto
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceEducation: phdSkills: []

Join a foundational team at the intersection of NLP/reasoning research and hardware codesign to develop language and reasoning models that run natively on a novel silicon substrate. You will design, train, and scale architectures like transformers and diffusion/flow models, collaborate with hardware designers, and push the frontier of language understanding and efficient computation on unconventional compute.

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FursaFursa
Unconventional AI
Unconventional AI
5 months ago

AI Systems, Language & Reasoning Models

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Join a foundational team at the intersection of NLP/reasoning research and hardware codesign to develop language and reasoning models that run natively on a novel silicon substrate. You will design, train, and scale architectures like transformers and diffusion/flow models, collaborate with hardware designers, and push the frontier of language understanding and efficient computation on unconventional compute.
Location: Palo Alto
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Model Development: Design, train, and scale next-generation language and reasoning architectures tailored for unconventional compute
  • •Physics-Informed Architecture: Rethink sequence modeling to exploit continuous-time dynamics of silicon
  • •Evaluation & Scaling: Establish training recipes, loss functions, and metrics for language comprehension, reasoning, and generation speed on energy-efficient hardware
  • •Extreme Codesign: Collaborate with hardware designers/theorists to co-design model architecture with underlying compute primitives
  • •Cross-functional Collaboration: Work with research and engineering teams to align algorithms with hardware capabilities

Pay and Benefits

Perks:Health Insurance401k MatchingPaid LeaveMeal Allowance

Key Requirements

  • •MS/PhD or equivalent research/project experience in AI/Machine Learning, Computer Science, Physics, Electrical Engineering, or Applied Math
  • •Deep, hands-on expertise in the theory, architecture, and training of modern foundation models (transformers, SSMs, text diffusion/flow, etc.)
  • •Hands-on, battle-tested experience dealing with model scaling and distributed training across large compute clusters
  • •Fluent in modern deep learning frameworks (PyTorch or JAX) with a track record of writing scalable training code for large language models
  • •Strong software development skills and ability to contribute to end-to-end model development
Experience:AIMachine learningFoundation modelsNLPHardware codesign
Education:PhD / Doctorate
Languages:English
Tech Stack:PyTorchJAXTransformersState space modelsDiffusionFlow modelsDeep equilibrium models

Company Brief

Unconventional AI
Builds customizable AI copilots and fine-tuned large language model solutions to help teams automate workflows, surface actionable insights, and integrate generative AI into business processes across products and operations.
Industry: AI & Machine Learning
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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