AI Theory

Unconventional AI
Palo Alto
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Python","NumPy","SciPy","Matplotlib","SymPy","PyTorch","JAX","Machine learning","Dynamics-based ML models"]

Join a small, multi-disciplinary R&D team, focusing on first-principles research at the intersection of AI, physics, and computer architecture. You’ll drive invention, prototyping, and validation of core components of a novel computing platform, spanning theory, algorithm development, hardware/software co-design, and experimental validation in collaboration with teammates.

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FursaFursa
Unconventional AI
Unconventional AI
9 months ago

AI Theory

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Join a small, multi-disciplinary R&D team, focusing on first-principles research at the intersection of AI, physics, and computer architecture. You’ll drive invention, prototyping, and validation of core components of a novel computing platform, spanning theory, algorithm development, hardware/software co-design, and experimental validation in collaboration with teammates.
Location: Palo Alto
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Drive invention, prototyping, and validation of the core components of our novel computing platform.
  • •Engage in theoretical modeling and simulation, algorithm development, and hardware/software co-design.
  • •Collaborate with team members on experimental validation and roadmap planning.
  • •Develop practical tools and metrics from analytic insights to study dynamical systems.
  • •Contribute to cross-disciplinary communication and translation of complex concepts across ML/AI and hardware teams.

Pay and Benefits

Perks:Health Insurance401kPaid Leave

Key Requirements

  • •MS/PhD or equivalent research/project experience strongly preferred
  • •0-to-1 mindset with history of tackling complex, ambiguous R&D problems
  • •deep curiosity across domains (semiconductor physics, ML theory, systems-level design)
  • •unconventional, creative approach to problem-solving
  • •exceptional technical ability in a quantitative field (Physics, CS, EE, Applied Math) and strong programming/math foundations
Experience:AIHardwareComputer architecture
Skills:PythonNumPySciPyMatplotlibSymPyPyTorchJAXMachine learningDynamics-based ML models
Languages:English
Tech Stack:PythonNumPySciPyMatplotlibSymPyPyTorchJAX

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
Website