Lead AI/ML Engineer

About Cere Network Since its launch in 2019, the Cere team has constantly anticipated the challenges that current systems would face, now brought to light by the rapid advancements of AI and the accompanying increase in data. With companies using multiple vendors causing data fragmentation that complicates AI integration, Cere positions itself as an objective, open-source solution, with a clear vision: All data should be decentralized. Unequivocally. Cere is backed by the world’s largest institutions and projects, including Binance Labs, Republic Labs, and Polygon. For more info, see: www.cere.network Our Ethos At Cere, we're not just hiring for roles; we're searching for a specific blend of qualities. We value individuals who excel in our fast-paced environment, embracing careful, simulation-driven development and a first-principle thinking approach. Our team members maintain high standards, discipline, and a growth mindset that fuels continuous learning and process refinement. Exceptional written communication is essential, as we depend on tools like Notion, Slack, and Wiki to ensure organized, transparent collaboration. We prioritize autonomy and goal orientation, nurturing a culture of accountability and transparency. Our ecosystem thrives on supportive, challenge-driven teamwork, a driving force behind Cere’s rapid innovation. We're drawn to individuals with principled character, high standards, and the ability to build and optimize efficient habits. A growth mindset and commitment to collective success underline our team dynamics as we aim to nurture a larger ecosystem of collaboration and progress. We're more than just a collection of job titles - we're a team of high-performing, multicultural professionals based around the globe. With offices in cities like San Francisco, New York, Warsaw, Amsterdam, and Berlin, we provide a flexible, remote working environment rooted in a unique ethos that each one of us embodies. Our teams often travel to meet in person every 1-2 months, enriching our remote interactions and cultivating the bonds that make our work productive and enjoyable. Responsibilities In this critical role at Cere AI, the AI/ML Scientist will be responsible for leading a range of initiatives aimed at enhancing data security and boosting the capabilities of Large Language Models (LLMs). You will co-architect cryptographic solutions with a focus on ZKproof technologies, collaborate closely with the machine learning community to integrate these cryptographic features into LLMs, and develop secure protocols for confidentially sharing trained models. Your expertise will also be fundamental in conducting security audits to identify vulnerabilities and in providing secure APIs for third-party integrations. Also, you will lead research on emerging cryptographic technologies and offer expert advice to data owners on assessing model credibility while serving as a subject matter expert in both customer and internal settings. - Collaborate with the machine learning engineers community to integrate cryptographic features into existing and future Large Language Models (LLMs). - Develop secure protocols that allow for the confidential sharing of trained models between data analysts and data owners. - Perform comprehensive security audits to identify and address vulnerabilities in LLM architectures and cryptographic implementations. - Work with engineering teams to provide secure APIs for third-party integrations, facilitating safe interactions between data owners and analysts. - Lead 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. - Offer expert advice to data owners on assessing the credibility and effectiveness of trained models in the marketplace. - Serve as a cryptography subject matter expert in customer engagements, internal training sessions, and industry events. Qualifications The ideal candidate will hold a Ph.D. with a focus on cryptography and machine learning and have at least 5 years of relevant experience. You 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 crucial. - Ph.D. in Computer Science, Mathematics, or a related field with a focus on machine learning. - Experience with Large Language Models, their applications, and associated security risks. - Strong proficiency in Natural Language Processing (NLP), including familiarity with the latest research and techniques. - Familiarity with machine learning frameworks like TensorFlow or PyTorch. - Exceptional problem-solving abilities and critical thinking skills for navigating complex systems. - Excellent communication skills, capable of translating complicated topics into understandable terms for a broad audience. - Demonstrated experience contributing to or leading cryptography-focused projects in a professional setting. Nice to have - Expertise in Zero-Knowledge Proofs (ZKproof) and associated cryptographic technologies like Homomorphic Encryption and Secure Multi-Party Computation. - Programming skills in languages such as Python, Rust or Golang.