Job Description
Join the Architects of Tomorrow
As we look toward 2026, the boundaries of artificial intelligence are dissolving. At Nexus Core Technologies, we aren't just building software; we are architecting the cognitive frameworks of tomorrow. We are seeking a visionary Senior AI Research Engineer to lead our initiative in developing autonomous reasoning systems that bridge the gap between human intent and machine execution.
In this role, you will operate at the forefront of generative AI and neural interface design. You will be responsible for training large-scale foundation models, optimizing inference latency, and ensuring our solutions are scalable, ethical, and transformative. If you are passionate about defining the future of tech in the 2026 landscape, this is your stage.
Why Join Us?
- Work on cutting-edge projects that will define the industry standard for the next decade.
- Competitive equity package and top-tier benefits.
- Collaborate with world-class engineers and researchers.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) and multimodal systems tailored for enterprise scalability.
- Research Leadership: Publish high-impact research papers and contribute to open-source communities to drive the broader AI ecosystem forward.
- System Optimization: Architect efficient deep learning pipelines, reducing computational costs while maximizing model accuracy.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Partner with product teams to translate complex AI capabilities into user-friendly applications.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed training frameworks (Ray, Kubernetes).
- Mathematical Fluency: Strong grasp of linear algebra, calculus, and probability theory.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver robust solutions in high-pressure environments.