About the company
Cere Network is the first Decentralized Data Cloud platform, built on Polkadot, optimized for service data integration and data collaboration. While most blockchains are simply distributed ledgers, the Cere DCC is built from the ground up to power the new generation of first-party customer data ecosystems. While harnessing similar goals to that of cloud platforms like Snowflake, Cere DCC is delivering a new level of data privacy, data agility, and data interoperability. Cere Network is founded by Silicon Valley veterans with 20 years of experience from Amazon, Twitch, D-Link, and Bebo with offices in San Fransisco, New York, Berlin and Belarus.
Job Summary
Responsibilities
šCollaborate with the machine learning engineers community to integrate cryptographic features into existing and future Large Language Models (LLMs). šDevelop secure protocols that allow for the confidential sharing of trained models between data analysts and data owners. šPerform comprehensive security audits to identify and address vulnerabilities in LLM architectures and cryptographic implementations. šWork with engineering teams to provide secure APIs for third-party integrations, facilitating safe interactions between data owners and analysts. šLead research initiatives to explore emerging cryptographic technologies, such as Homomorphic Encryption, Multi-Party Computation, and Secure Enclaves, that could enhance the security of our platform. šOffer expert advice to data owners on assessing the credibility and effectiveness of trained models in the marketplace. šServe as a cryptography subject matter expert in customer engagements, internal training sessions, and industry events.
Qualifications
šThe ideal candidate will hold a Ph.D. with a focus on cryptography and machine learning and have at least 5 years of relevant experience. šYou should be skilled in, Large Language Models and Natural Language Processing. Proficiency in programming languages like Python, excellent problem-solving abilities, and strong communication skills are also essential. šPh.D. in Computer Science, Mathematics, or a related field with a focus on machine learning. šExperience with Large Language Models, their applications, and associated security risks. šStrong proficiency in Natural Language Processing (NLP), including familiarity with the latest research and techniques. šFamiliarity with machine learning frameworks like TensorFlow or PyTorch. šExceptional problem-solving abilities and critical thinking skills for navigating complex systems. šExcellent communication skills, capable of translating complicated topics in an understandable manner for a broad audience. šDemonstrated experience contributing to or leading cryptography-focused projects in a professional setting.
