Job Description
Are you ready to architect the intelligence of tomorrow? Quantum Horizon AI is seeking a visionary Senior AI/ML Architect to lead our next-generation model development for the 2026 release cycle.
We are building the infrastructure that powers the next decade of human-machine interaction. If you are obsessed with scaling models, optimizing inference latency, and pushing the boundaries of Generative AI, we want to talk to you. Join us in shaping the future of Artificial General Intelligence.
Why join us?
- Work on cutting-edge Large Language Models (LLMs) and multimodal systems.
- Competitive compensation and equity packages.
- Flexible remote-first policy with access to state-of-the-art compute resources.
- Opportunity to mentor a team of world-class engineers and researchers.
Responsibilities
- Architectural Leadership: Design scalable, high-performance ML infrastructure and pipelines tailored for 2026 standards.
- Model Development: Spearhead the research and implementation of state-of-the-art deep learning algorithms, focusing on efficiency and accuracy.
- MLOps Optimization: Develop robust CI/CD pipelines for model deployment, ensuring high availability and real-time inference.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to integrate AI solutions into consumer-facing products.
- Performance Tuning: Optimize training and inference workflows using distributed computing and GPU acceleration.
- Technical Mentorship: Guide junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Tools: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with Kubernetes and Docker.
- Research: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
- Problem Solving: Ability to tackle complex, ambiguous problems and deliver innovative solutions.
- Communication: Excellent verbal and written communication skills for technical and non-technical audiences.