Job Description
The Future is Calling. Are you ready to architect the next generation of Artificial General Intelligence (AGI) by 2026? Nexus Future Labs is a pioneering research organization dedicated to solving humanity's most complex challenges through advanced AI. We are looking for a visionary AI Future Architect to lead our R&D division in shaping the ethical and scalable frameworks for tomorrow's technology.
In this role, you won't just write code; you will define the future of human-computer interaction. You will bridge the gap between theoretical AI research and practical, deployable systems that will revolutionize industries. Join us in San Francisco and be at the forefront of the technological singularity.
Why Join Us?
- Work on cutting-edge projects with a mission-driven team.
- Competitive compensation package with equity options.
- Flexible remote-first hybrid work culture.
- Access to state-of-the-art computing resources and research grants.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, high-performance AI architectures for Large Language Models (LLMs) and multimodal systems expected to dominate 2026.
- Research Leadership: Spearhead research initiatives in AI safety, alignment, and reinforcement learning to ensure AGI benefits all of humanity.
- Prototyping & Validation: Rapidly prototype complex algorithms, validate performance metrics, and translate theoretical concepts into production-ready code.
- Strategic Vision: Define the long-term technical roadmap for the AI division, identifying emerging trends and integrating them into our core infrastructure.
- Cross-Functional Collaboration: Partner with product managers, ethicists, and software engineers to integrate AI solutions seamlessly into consumer and enterprise products.
- Technical Mentorship: Lead a team of senior engineers and researchers, fostering a culture of innovation, continuous learning, and technical excellence.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related technical field (or equivalent extensive practical experience).
- Technical Mastery: Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
- Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a lead or architect role.
- Programming: Proficiency in Python, C++, and SQL. Experience with GPU optimization (CUDA) is highly preferred.
- Research Background: A strong track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or open-source contributions to major ML libraries.
- Soft Skills: Exceptional problem-solving abilities, clear communication skills, and the ability to thrive in a fast-paced, ambiguous startup environment.