Job Description
We are on a mission to architect the intelligent infrastructure of the year 2026. Nexus Future Labs is seeking a visionary Senior AI Research Scientist to lead the development of next-generation generative models and autonomous agents. If you are passionate about pushing the boundaries of Large Language Models (LLMs), reinforcement learning, and ethical AI alignment, this is your opportunity to define the future of technology.
Why Join Us?
- Impact at Scale: Deploy models that will power the next decade of digital transformation.
- World-Class Team: Collaborate with PhD-level experts and industry pioneers.
- Innovation First: We provide the compute resources and freedom to experiment with cutting-edge architectures.
Responsibilities
- Design and implement novel neural network architectures optimized for 2026-era compute constraints.
- Lead research initiatives in Generative AI, Reinforcement Learning from Human Feedback (RLHF), and Chain-of-Thought reasoning.
- Optimize model inference speeds and reduce energy consumption for large-scale deployment.
- Establish rigorous evaluation frameworks to measure model safety, bias, and performance.
- Mentor junior researchers and contribute to a culture of scientific excellence and transparency.
- Collaborate with product teams to translate research breakthroughs into scalable products.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- Minimum of 5 years of professional experience in Deep Learning and Natural Language Processing.
- Extensive experience with PyTorch, TensorFlow, or JAX, and familiarity with HuggingFace Transformers.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL, ICLR).
- Strong understanding of distributed systems and high-performance computing environments.
- Demonstrated ability to navigate complex ethical and safety challenges in AI deployment.