Job Description
The Future is Now at Horizon Dynamics.
We are seeking a visionary Senior AI Research Scientist (2026 Vision) to join our elite R&D team. In this pivotal role, you will spearhead the development of next-generation artificial intelligence systems designed to solve complex global challenges and redefine industry standards. If you are passionate about pushing the boundaries of what is possible in Machine Learning and Deep Learning, and you want to build the technology that will shape the world of 2026 and beyond, we want to hear from you.
You will work in a state-of-the-art facility with access to the latest hardware, including next-gen GPUs and quantum computing prototypes. You will collaborate with world-class engineers, ethicists, and product designers to ensure our AI is not only powerful but also safe, scalable, and beneficial.
Why Join Us?
- Competitive compensation package with equity options.
- Flexible remote and hybrid work culture.
- Access to proprietary research datasets and tools.
- Opportunity to publish at top-tier conferences.
Responsibilities
- Lead the research and development of novel AI algorithms focused on Natural Language Processing (NLP) and Computer Vision.
- Design and implement scalable machine learning models capable of processing petabytes of data in real-time.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Collaborate with cross-functional teams to translate theoretical research into practical, deployable products.
- Stay at the forefront of the AI industry by conducting rigorous literature reviews and benchmarking against state-of-the-art models.
- Ensure all research adheres to ethical guidelines and bias mitigation strategies.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of experience in research roles, with a proven track record of publications in top-tier venues (NeurIPS, ICML, ICLR, etc.).
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Deep understanding of deep learning architectures, transformers, and reinforcement learning.
- Strong background in statistical modeling and data analysis.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, high-pressure environment.