Job Description
We are seeking a visionary Senior AI Research Scientist to help define the technological landscape of 2026 and beyond. Nexus Future Labs is pioneering the next generation of Agentic AI systems, and we need a leader who can bridge the gap between theoretical breakthroughs and scalable, real-world applications.
In this role, you will not just build models; you will architect the future of human-AI interaction. You will define the roadmap for our AI capabilities, ensuring we remain at the forefront of the industry's evolution.
Why join us?
- Shape the future of AI with cutting-edge research in autonomous agents and multimodal learning.
- Competitive compensation package and equity options.
- Collaborative environment with industry leaders and top-tier talent.
Responsibilities
- Lead the research and development of advanced multimodal AI models focused on autonomy, reasoning, and complex task execution.
- Design and implement novel neural architectures to improve model efficiency, reduce latency, and minimize hallucination rates.
- Collaborate closely with cross-functional engineering teams to translate high-level research findings into production-ready APIs and infrastructure.
- Establish and maintain a strong publication record in top-tier AI conferences (NeurIPS, ICML, ACL) and contribute to the open-source community.
- Advocate for ethical AI practices and contribute to the development of internal governance frameworks for responsible deployment.
- Mentor and guide junior researchers and data scientists within the department, fostering a culture of innovation.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML research or applied machine learning.
- Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing systems (Kubernetes, Ray).
- Proven track record of publishing research papers and contributing to significant, open-source projects.
- Strong programming skills in Python and C++.
- Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.