Job Description
Join the Pioneers of the 2026 Future
We are Quantum Horizon AI, a cutting-edge technology firm dedicated to redefining the landscape of artificial intelligence for the year 2026 and beyond. We are looking for a visionary Senior AI Research Engineer to lead our strategic R&D initiatives.
In this pivotal role, you will be at the forefront of developing next-generation machine learning models, scalable architectures, and intelligent systems that will power our global platform. If you are passionate about solving complex problems and have a knack for futuristic technology, we want to meet you.
Why Join Us?
- Work with a world-class team of engineers and data scientists.
- Shape the roadmap for our 2026 product launches.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Lead Research & Development: Spearhead the design and implementation of novel AI algorithms and deep learning models focused on our 2026 strategic goals.
- Architecture Design: Design scalable, fault-tolerant, and high-performance machine learning infrastructure and pipelines.
- Model Deployment: Oversee the transition of research prototypes into production-grade software, ensuring robustness and efficiency.
- Collaboration: Partner with cross-functional teams including product managers, engineers, and business stakeholders to align technical solutions with business objectives.
- Optimization: Continuously monitor, evaluate, and optimize existing models for accuracy, speed, and cost-effectiveness.
- Mentorship: Mentor junior engineers and researchers, fostering a culture of technical excellence and innovation.
- Documentation: Maintain comprehensive technical documentation and contribute to internal knowledge bases.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Experience: Minimum of 5+ years of professional experience in machine learning, deep learning, or artificial intelligence research.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing and cloud platforms (AWS/GCP/Azure).
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems and derive actionable insights from data.
- Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
- Agile: Experience working in agile, fast-paced development environments.
- Passion: Deep passion for the future of technology and staying ahead of industry trends.