Applied Research & Engineering Manager, Relyance AI

• 5+ years of experience in Deep Learning Research, focusing on large-scale model training (e.g., LLMs, Generative Models) in industry or a top-tier academic/research lab
• Deep, hands-on expertise in the entire model lifecycle: From custom data collection/curation to pre-training, post-training alignment (fine-tuning/RLHF), and deployment of specialized models
• A proven track record of leading research teams and defining scientific roadmaps that resulted in significant model breakthroughs or publications (e.g., NeurIPS, ICML, ICLR, ACL)
• A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1
• A strong passion for exploring the limits of AI and a belief in creating machine learning systems to inform strategic decisions in fast-moving environments
• Extensive experience working with large, complex proprietary datasets for novel model training, coupled with exceptional scientific communication skills to clearly articulate complex theoretical concepts and research directions to both technical and executive audiences
• Expert-level proficiency in Python and modern ML frameworks (PyTorch, JAX, or TensorFlow)

Desirable

• As Relyance AI’s Manager, Applied Research & Engineering - AI Security, you will lead the delivery of our next-generation AI Security product and then lead a global team continuing to build out the offering
• You will be responsible for the technical vision, strategy, and execution of critical software initiatives that are the future of Relyance AI
• Technical Strategy & Architecture: Define the long-term technical vision and architecture for AI security products, ensuring solutions are scalable, performant, and built for high-assurance security standards
• Applied Research & Development: Drive a culture of applied research and threat modeling, translating complex findings around model vulnerabilities (e.g., adversarial attacks, data poisoning) into tangible, deployable product features
• Security Engineering Excellence: Oversee the design, development, and deployment of solutions for AI/ML systems, focusing on runtime protection, data lineage, and privacy-preserving techniques
• Leadership & Team Building: Serve as an inspiring, hands-on leader for a global, geographically dispersed team. Recruit, hire, mentor, and coach top-tier security and AI engineering talent, fostering a culture of innovation, urgency, and technical ownership
• Cross-Functional Execution: Work closely with Product Management to define the product roadmap and translate AI security research findings into commercially viable product features