Job Description
The Opportunity: Nexus Future Labs is revolutionizing the technological landscape through our flagship initiative, Project 2026. We are seeking a visionary Senior AI Architect to lead the development of next-generation generative models and quantum-ready algorithms. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to build the infrastructure for the future, we want to meet you.
Why Join Us?
- Work on Project 2026, a top-secret initiative aimed at solving complex global challenges.
- Competitive compensation package and equity options.
- State-of-the-art equipment and flexible remote-first hybrid work environment.
- Access to cutting-edge research and development resources.
We are looking for a technical leader who thrives in ambiguity and possesses a deep understanding of machine learning theory and practical application.
Responsibilities
- Architectural Leadership: Design and implement scalable, high-performance AI infrastructure for Project 2026, ensuring robustness and scalability.
- Model Development: Spearhead the research and deployment of advanced neural networks, including large language models and reinforcement learning agents.
- Quantum Integration: Collaborate with quantum computing research teams to integrate hybrid classical-quantum algorithms into production pipelines.
- Code Optimization: Optimize existing codebases for latency, throughput, and resource efficiency to handle petabyte-scale data processing.
- Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Stakeholder Communication: Translate complex technical concepts into clear, actionable insights for non-technical stakeholders and investors.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related field.
- Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in machine learning and AI.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with cloud platforms (AWS, GCP, or Azure).
- Quantum Awareness: Familiarity with quantum computing concepts (Qiskit, Cirq, or similar) is a strong plus.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.
- Leadership: Proven track record of leading high-performing engineering teams.