Job Description
We are on a mission to architect the intelligence that will define 2026 and beyond. At Quantum Horizon AI, we are building the next generation of predictive systems that operate at the intersection of neural networks and real-time data processing. As a Lead AI Research Scientist, you will be at the forefront of innovation, developing scalable machine learning models that solve complex, high-stakes problems for enterprise clients.
Why Join Us?
- Work with state-of-the-art infrastructure in a dynamic, high-growth environment.
- Competitive equity package and comprehensive benefits.
- Opportunity to publish cutting-edge research and influence the industry standard.
Role Overview
You will lead a team of data scientists and engineers in designing, training, and deploying robust AI solutions. Your work will directly impact our product roadmap, ensuring we remain the leader in future-ready technology.
Responsibilities
- Design and implement advanced machine learning algorithms and deep neural network architectures.
- Lead end-to-end research projects from hypothesis to production deployment.
- Mentor junior researchers and engineers, fostering a culture of technical excellence and innovation.
- Collaborate with cross-functional teams including product management, engineering, and design.
- Stay abreast of the latest academic research and industry trends to integrate cutting-edge techniques into our stack.
- Optimize model performance, scalability, and efficiency for cloud-native environments.
Qualifications
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5 years of experience in machine learning research and engineering.
- Proficiency in programming languages such as Python, C++, or Java.
- Strong experience with deep learning frameworks (TensorFlow, PyTorch, or JAX).
- Proven track record of publishing research papers in top-tier conferences (NeurIPS, ICML, etc.).
- Experience with big data technologies (Spark, Kafka, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.