Job Description
Are you ready to architect the digital twin of 2026?
Nexus Future Labs is a pioneering research organization dedicated to building the predictive infrastructure for the year 2026. We are seeking a visionary Senior AI Architect to lead our simulation and predictive modeling team. In this role, you will design the neural networks and algorithmic frameworks that will underpin the next generation of smart city logistics, autonomous systems, and global economic forecasting models.
If you thrive on solving complex, high-stakes problems and want to leave a lasting legacy on the technological landscape of the future, we want to meet you.
Why Join Us?
- Work on cutting-edge simulation technology.
- Competitive compensation and equity package.
- Flexible remote-first policy with a hub in San Francisco.
- Access to state-of-the-art quantum computing resources.
Responsibilities
- Architect Simulation Frameworks: Design and implement scalable, distributed neural network architectures capable of processing real-time data streams for year-2026 simulations.
- Algorithm Optimization: Lead the optimization of deep learning models to reduce latency and increase accuracy in high-volume predictive scenarios.
- System Integration: Integrate AI models with legacy infrastructure and emerging IoT ecosystems to ensure seamless operational continuity.
- Technical Leadership: Mentor a team of junior data scientists and engineers, conducting code reviews and architectural reviews to maintain high standards of quality.
- Research & Development: Stay at the forefront of AI advancements, evaluating new technologies such as transformer models and reinforcement learning agents for application in our simulations.
- Stakeholder Communication: Translate complex technical concepts into clear strategies for stakeholders and non-technical team members.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Experience: 7+ years of professional experience in machine learning engineering, with at least 3 years in a senior leadership or architect role.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Rust. Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes.
- Domain Knowledge: Deep understanding of distributed systems, big data processing (Spark/Hadoop), and predictive analytics.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust solutions under tight deadlines.
- Soft Skills: Exceptional communication skills and the ability to collaborate effectively in a fast-paced, innovative environment.