Remote Lead AI Engineer (Remote, Europe)

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Description:

  • Nillion is seeking a Lead AI Engineer with a strong background in generative AI models and an interest in Privacy Enhancing Technologies (PET).
  • The role involves exploring the intersection of generative AI and multi-party computation (MPC) to develop new techniques for secure, distributed AI computations.
  • The successful candidate will work closely with the Nillion Product team and report to the AI Product Lead.
  • Responsibilities include designing and executing a technical AI roadmap, collaborating with the cryptography team, adapting AI model architectures for confidential computing, integrating feedback from AI developers, and contributing to the creation of user-friendly AI tools.

Requirements:

  • Essential requirements include experience in developing, fine-tuning, and deploying AI systems at scale, and leading technical teams or projects, preferably AI-related.
  • Candidates must have an in-depth understanding of recent transformer architectures and LLMs, as well as familiarity with traditional ML models like BERT and CNNs.
  • Strong technical and strategic thinking abilities are required, along with effective communication skills for conveying complex concepts to diverse stakeholders.
  • Proficiency in Python and related AI/ML frameworks (e.g., PyTorch, HuggingFace, Docker) is necessary, along with an MSc or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
  • Desirable qualifications include previous experience at a high-growth startup, deeptech experience, a strong entrepreneurial drive, and a passion for cryptography and privacy-preserving technologies.

Benefits:

  • Nillion offers flexible working hours to accommodate diverse lifestyles and a globally distributed team.
  • A competitive compensation package is provided.
  • Employees can make a significant impact as early contributors to an exceptional founding team.
  • The role involves working on innovative problems in a dynamic field.
  • Mentorship-oriented work culture allows for learning from experts in systems engineering, cryptography, and product domains.
  • The company is fully remote, valuing regular meet-ups while allowing employees to work from anywhere.
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