Job Description
Are you ready to define the future of Artificial General Intelligence?
FutureScale Labs is seeking visionary minds to join Project 2026, our ambitious initiative to pioneer the next generation of autonomous cognitive systems. We are not just building software; we are architecting the future.
As a key member of our elite R&D team, you will push the boundaries of what is possible with Large Language Models, reinforcement learning, and neural architectures. If you are driven by the challenge of solving the unsolvable and thrive in a high-performance environment, this is your stage.
Responsibilities
- Architect and train cutting-edge Foundation Models using proprietary data pipelines.
- Optimize model inference latency and accuracy for real-world deployment.
- Conduct rigorous research to validate novel algorithms and publish findings in top-tier conferences (NeurIPS, ICML).
- Collaborate with engineering teams to integrate complex AI models into scalable production environments.
- Identify and mitigate potential biases and safety risks in generative AI outputs.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 3+ years of experience in research, with a strong publication record in AI/ML.
- Deep expertise in Python, PyTorch, and modern deep learning frameworks.
- Proven track record of working with Transformer architectures and LLMs (GPT, BERT, etc.).
- Strong mathematical foundation in linear algebra, calculus, and probability theory.