7 months ago

AI Theory

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 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

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Unconventional AI

7 months ago

AI Theory

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

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

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website