Job Description
We are seeking a visionary Senior AI Architect to lead the technical strategy for our upcoming generation of General Intelligence systems, targeting the 2026 deployment window.
In this role, you will bridge the gap between theoretical research and production-grade systems. You will be responsible for designing the neural architecture, optimizing data pipelines, and ensuring our AI solutions are scalable, secure, and ethically aligned.
Why join us?
- Work on cutting-edge Generative AI models.
- Competitive compensation and equity package.
- Remote-first culture with HQ in San Francisco.
Responsibilities
- Architectural Leadership: Design and implement the core machine learning infrastructure for next-gen autonomous agents and generative tools.
- R&D Strategy: Identify and prototype emerging AI technologies (e.g., Transformer variants, reinforcement learning) to drive our 2026 roadmap.
- Model Optimization: Enhance model latency, throughput, and memory efficiency to support real-time inference at scale.
- MLOps Integration: Build and maintain CI/CD pipelines for model training, validation, and deployment.
- Ethical AI Oversight: Implement bias detection and fairness protocols to ensure responsible AI development.
- Team Mentorship: Guide a team of ML engineers and data scientists in best practices and advanced techniques.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
- Experience: 7+ years of experience in machine learning, with at least 3 years in a senior architectural or lead engineering role.
- Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and SQL.
- Domain Knowledge: Strong understanding of Deep Learning, NLP, Computer Vision, or RL.
- Cloud Expertise: Experience deploying models on AWS, GCP, or Azure using Kubernetes and Docker.
- Problem Solving: Ability to tackle complex, unstructured problems and deliver robust, scalable solutions.