AI Resident, Normal Computing
$100k
More information about location
Generative AI for enterprise
Open for applications
Generative AI for enterprise
21-100 employees
Open for applications
$100k
More information about location
21-100 employees
Company mission
To bridge artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
Role
Who you are
- Experience with large-scale numerical simulations, including benchmarking of ML algorithms and training of ML models
- Experience with modern AI methods, such as probabilistic ML, Bayesian reasoning, sampling algorithms, and generative AI models
- Familiarity with classical physics formalism, differential equations, and stochastic processes
- Familiarity with characterizing the impact of noise and imperfections on algorithmic performance
- Familiarity with data science applications and specific use cases of ML methods
- Proficiency in at least one programming language, with a preference for those commonly used in ML or scientific computing such as Python or C++
- Familiarity with TensorFlow, PyTorch, Jax, NumPy, Pandas, or similar ML/scientific libraries
What the job involves
- The AI Research Residency program presents an exclusive 6-12 month opportunity to accelerate your career in modern AI research
- As an AI Research Resident at Normal Computing, you'll have the incredible opportunity to collaborate with our world-class research team in bringing to life a full-stack physics-based AI platform
- Your role will involve developing cutting-edge algorithms and hardware paradigms for AI, pushing the boundaries of what's possible
- If you're ready to be on the frontier of AI research and share our vision for the synergy between physics and AI, we invite you to apply to our AI Residency Program and be part of the exciting future of AI at Normal Computing
- Interface with our world-class research team focused on developing a full-stack physics-based AI platform
- Explore cutting-edge generative AI tools for novel applications
- Research and develop new algorithms and hardware paradigms for AI
- Conduct numerical benchmarking of algorithmic and hardware proposals
- Optimize hardware speedups over state-of-the-art and characterize the impact of hardware noise
- Investigate commercial applications that stand to benefit from Normal’s physics-based AI platform
Our take
As the rate of AI adoption accelerates, Normal Computing sets out to make it more usable and scalable for enterprises, where risk is a central barrier to its implementation. The hope is that this will allow enterprises to make use of technologies such as Generative AI which has so far only been considered appropriate for early consumer applications.
The company's Probabilistic AI gives control over reliability, adaptivity, and auditability to AI models powered by its customers' private data. It boasts the ability to support such applications as automating complex underwriting processes, generating and validating specialized code, and mitigating risks in situations where the conditions are dynamic and fluctuating.
By targeting a major roadblock to enterprise AI adoption, Normal Computing has the chance to make a major (and profitable) contribution to accelerating complex AI use cases. The company has raised considerable funding to support its endeavours, which it will use to double down on the R&D of its application development platform and Probabilistic AI technology.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 3 rounds)
Nov 2024
$62.3m
GRANT
Jun 2023
$8.5m
SEED
Total funding: $79.3m
Company HQ
Civic Center, New York, NY
Articles
Leadership
Faris Sbahi
(Co-Founder & CEO)Has worked as a Research Scientist at X, the moonshot factory, a Software Engineer at Google, and as a Forward Deployed Engineer at Palantir Technologies.
Matthias Tan
(Co-founder)Venture Partner at NextGen Venture Partners. Former Principal of Strategy and Partnerships at X, the moonshot factory, and Director of Product and Partnerships at Pony.ai.
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