Job Description
The Future is Here. Are You Ready to Build It?
Nexus Future Systems is pioneering the next generation of intelligent autonomous agents. We are looking for a visionary Senior AI/ML Engineer to lead our research into Large Language Models (LLMs) and Neural Symbolic AI architectures. If you are obsessed with pushing the boundaries of what machines can learn, this is your opportunity to define the standard for 2026 and beyond.
In this role, you won't just be deploying models; you will be architecting the intelligence that powers our core products. You will work at the intersection of deep learning, cognitive science, and scalable software engineering.
Why Join Us?
- Impactful Work: Your models will directly influence how billions of users interact with the web.
- Top-Tier Compensation: Competitive base salary plus performance bonuses and equity.
- Future-Proof Tech Stack: Work with the latest in PyTorch, JAX, and proprietary GPU clusters.
Responsibilities
- Architect & Optimize: Design and implement state-of-the-art Generative AI models, focusing on efficiency, latency, and hallucination reduction.
- Research & Development: Push the envelope of current NLP capabilities by exploring novel architectures and fine-tuning strategies.
- Model Deployment: Build scalable MLOps pipelines to transition models from research to production with zero-downtime rollouts.
- Collaborative Innovation: Partner with product teams to translate complex AI concepts into user-friendly features.
- Technical Leadership: Mentor junior engineers and establish best practices for code quality and model governance.
- Data Strategy: Collaborate with data engineers to curate high-quality, diverse training datasets.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Technical Mastery: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Transformer architectures.
- Problem Solving: Proven track record of solving complex technical challenges and optimizing large-scale systems.
- Communication: Excellent ability to communicate complex technical ideas to both technical and non-technical stakeholders.
- Language: Fluent in English; proficiency in a second language is a plus.