Job Description
We are pioneering the architecture of the artificial intelligence landscape for the year 2026 and beyond. As an AI Research Engineer - 2026 Horizon at FutureCore Innovations, you will be at the forefront of developing scalable, ethical, and transformative AI systems.
Your mission is to bridge the gap between theoretical breakthroughs in Deep Learning and practical, high-performance engineering solutions. You will work on projects ranging from Large Language Model alignment to autonomous agent frameworks designed for the next generation of computing.
If you are passionate about the future of technology and want to shape the AI landscape of tomorrow, we want to hear from you.
Responsibilities
- Design and implement cutting-edge neural network architectures tailored for 2026 computing paradigms and hardware accelerators.
- Optimize model inference latency and accuracy for distributed cloud and edge environments.
- Lead research initiatives focused on AGI (Artificial General Intelligence) safety, alignment, and interpretability.
- Collaborate with cross-functional teams to integrate advanced AI capabilities into consumer and enterprise products.
- Conduct rigorous A/B testing, statistical analysis, and benchmarking to validate model performance against industry standards.
- Document complex algorithms and contribute to open-source repositories to advance the field.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 3+ years of experience in Deep Learning, Machine Learning, or Natural Language Processing (NLP).
- Proficiency in Python, PyTorch, and/or TensorFlow with a deep understanding of GPU optimization.
- Strong understanding of distributed systems, parallel computing, and high-performance computing (HPC).
- Proven track record of publishing research in top-tier AI conferences (NeurIPS, ICML, ACL, ICLR).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, agile, and remote-first environment.