Job Description
We are on the precipice of a technological singularity. Nexus Future Systems is building the infrastructure for the year 2026, and we are seeking a visionary Senior AI Architect to lead our research division.
In this role, you won't just be coding; you will be defining the future of Artificial General Intelligence (AGI). You will be responsible for architecting the neural frameworks that will power the next generation of autonomous systems. If you are passionate about pushing the boundaries of what machines can learn and do, this is your opportunity to leave a permanent mark on history.
Why join us?
- Work on cutting-edge AGI models.
- Competitive compensation package with equity.
- Flexible remote-first policy with a hub in San Francisco.
- Access to the world's best computing resources.
Responsibilities
- Define the 2026 AGI Roadmap: Lead the strategic direction for our artificial general intelligence research, setting long-term goals for self-improvement and autonomy.
- Architect Neural Systems: Design and implement scalable neural network architectures capable of processing complex, unstructured data streams in real-time.
- Lead High-Performance Teams: Mentor and manage a team of world-class machine learning engineers and data scientists.
- Publish and Patent: Drive innovation by publishing groundbreaking research papers and filing patents for novel algorithms.
- Collaborate with Interdisciplinary Teams: Work closely with ethicists, security experts, and product designers to ensure safe and beneficial AI deployment.
- Optimize Compute Efficiency: Architect systems that maximize throughput while minimizing energy consumption for large-scale training runs.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Experience: At least 7+ years of experience in machine learning research or software engineering, with at least 3 years in a leadership capacity.
- Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX. Proven experience with Transformer models, Reinforcement Learning, or LLM fine-tuning.
- Problem Solving: Exceptional ability to solve ambiguous, high-complexity problems with elegant technical solutions.
- Communication: Excellent written and verbal communication skills, capable of explaining complex concepts to diverse stakeholders.
- Innovation: A track record of innovation and a passion for staying ahead of the curve in rapidly evolving technology.