Job Description
NeuralHorizon is pioneering the technological frontier, building the advanced artificial intelligence systems that will define the year 2026. We are seeking a visionary Senior AI Research Engineer to lead the development of next-generation Large Language Models (LLMs) and autonomous agents.
In this role, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for designing architectures that are not only cutting-edge but also robust, ethical, and ready for the rapid evolution of the industry.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to shape the future of AI.
Responsibilities
- Lead the research and development of proprietary AI models focused on achieving breakthrough performance metrics for the 2026 roadmap.
- Design and implement scalable machine learning pipelines using Python, PyTorch, and distributed computing frameworks.
- Collaborate with cross-functional teams of product managers, engineers, and designers to translate research into user-centric applications.
- Optimize model inference speeds and reduce latency to ensure real-time user experiences.
- Conduct rigorous experimentation and evaluation of novel algorithms, including Reinforcement Learning from Human Feedback (RLHF).
- Stay ahead of the curve by monitoring the latest academic papers and industry trends in NLP and Generative AI.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning research or applied AI engineering.
- Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and natural language processing.
- Strong programming skills in Python, with experience in C++ or CUDA for performance optimization.
- Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL) or shipping high-impact AI products.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, agile environment.
- Experience with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, GCP) is highly desirable.