Job Description
We are seeking a visionary Senior AI Research Engineer to join our elite team at Apex Future Systems. As we prepare for the technological paradigm shift of 2026, we are building the foundational architecture for General Artificial Intelligence (AGI). You will not just be writing code; you will be defining the ethical and technical boundaries of human-machine interaction for the next decade.
In this role, you will work in a high-performance environment, collaborating with neuroscientists and quantum computing experts to deploy next-generation neural networks. If you are obsessed with pushing the limits of what is possible in deep learning and have a passion for the future, we want to hear from you.
Responsibilities
- Design and implement cutting-edge deep learning architectures capable of reasoning and autonomous learning.
- Lead R&D initiatives focused on multimodal AI, bridging the gap between text, vision, and auditory processing.
- Optimize model inference for edge devices and distributed cloud environments.
- Establish rigorous testing protocols to ensure the safety and reliability of autonomous systems.
- Collaborate with cross-functional teams to translate theoretical research into scalable production solutions.
- Stay ahead of the curve by publishing papers in top-tier conferences (NeurIPS, ICML) and patenting novel algorithms.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of experience in Deep Learning, specifically with PyTorch or TensorFlow.
- Strong proficiency in Python, C++, and distributed computing frameworks (Kubernetes, Spark).
- Experience training Large Language Models (LLMs) or Generative Adversarial Networks (GANs).
- Deep understanding of optimization techniques, neural network theory, and statistical modeling.
- Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.