Job Description
Are you ready to shape the future? Join the vanguard of artificial intelligence and design the foundational systems that will power the global economy in 2026 and beyond. At Aperture Sciences, we are not just building software; we are architecting the next generation of human-computer interaction.
We are seeking a visionary Senior AI Architect to lead our research division. In this role, you will define the architectural blueprints for Generative AI, Neuro-symbolic systems, and the ethical integration of Autonomous Agents. If you possess an unyielding passion for pushing the boundaries of what is possible in machine learning and are looking for a challenge that defines the decade, we want to meet you.
Why Join Us?
• Work on cutting-edge projects that redefine industry standards.
• Competitive compensation package and equity for top performers.
• Access to next-gen computing resources and research facilities.
• Collaborative environment with industry leaders and futurists.
Responsibilities
- Architect Future-Proof AI Systems: Design scalable, fault-tolerant machine learning infrastructure capable of processing petabytes of data in real-time.
- Lead R&D Initiatives: Spearhead research into Large Language Models (LLMs), Reinforcement Learning, and quantum-inspired algorithms.
- Define Ethical Frameworks: Establish safety protocols and bias mitigation strategies for autonomous agents and decision-making systems.
- Technical Mentorship: Guide a team of world-class engineers and data scientists, fostering a culture of innovation and excellence.
- Strategic Vision: Translate complex technological trends into actionable product roadmaps for 2026 and beyond.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field with a focus on AI.
- Experience: 10+ years of experience in software engineering, with at least 5 years in senior machine learning architecture roles.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, AWS/GCP).
- Innovation: Demonstrated history of publishing research papers or delivering breakthrough innovations in AI.
- Soft Skills: Exceptional communication skills with the ability to explain complex concepts to non-technical stakeholders.