Founding Lead AI Engineer - ResiQuant
Pear VCFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $210K - $250K.
This is a hybrid position.
Required skills include proficiency in Python and ML frameworks like PyTorch and Hugging Face, experience with prompt engineering and deploying language models, strong software engineering skills especially with distributed systems, and ability to handle large diverse datasets.
Normal Computing celebrates diversity, is committed to creating an inclusive environment for all employees, and provides reasonable accommodations for individuals with disabilities.
A strong candidate has a proven track record leading engineering projects in ML or AI, strong software engineering skills with distributed systems, proficiency in Python and ML frameworks, experience with prompt engineering and deploying language models, plus bonus for semis knowledge, cloud platforms, and open-source contributions.
Develops generative AI for enterprises
Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for critical applications in high-stakes environments.