Job Description
Are you ready to define the future of intelligence?
Apex Future Systems is pioneering the next generation of Artificial General Intelligence (AGI). We are looking for a visionary Lead AI Research Scientist to spearhead our Project 2026 initiative—a groundbreaking research lab dedicated to solving the most complex challenges in machine reasoning, autonomous agents, and quantum-enhanced neural networks.
In this role, you won't just write code; you will architect the cognitive architectures that will define the technological landscape of the next decade. If you thrive in ambiguity and are obsessed with pushing the boundaries of what AI can achieve, we want to meet you.
Responsibilities
- Lead the research and development of state-of-the-art Large Language Models (LLMs) and multi-modal systems.
- Design and optimize scalable neural network architectures for high-performance computing environments.
- Collaborate with a cross-functional team of engineers, data scientists, and product strategists to translate theoretical research into deployable models.
- Publish cutting-edge papers in top-tier conferences (NeurIPS, ICML, ACL) and establish Apex as a thought leader in the AI community.
- Mentor and guide a team of junior researchers, fostering a culture of innovation and scientific curiosity.
- Identify and mitigate technical risks in research pipelines and experimental setups.
- Oversee data curation strategies to ensure high-quality training datasets for Project 2026.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Minimum of 5+ years of industry experience in applied machine learning, deep learning, or research.
- Proven track record of publishing research in prestigious venues or holding patents in AI technologies.
- Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and MLOps best practices.
- Demonstrated ability to lead complex technical projects from conception to execution.
- Experience with reinforcement learning, natural language processing, or computer vision is highly preferred.