Job Description
Are you ready to define the technological landscape of 2026?
Nexus Future Labs is seeking a visionary AI Research Engineer to join our elite R&D division. We are building the core infrastructure for the next generation of Artificial General Intelligence (AGI) and sustainable automation systems. In this role, you won't just implement existing models; you will pioneer the algorithms that will drive our products in the year 2026 and beyond.
Why Join Us?
• Impactful Work: Directly contribute to the evolution of AI that powers millions of future devices.
• Equity & Incentives: Competitive compensation package including stock options.
• Future-Ready Environment: Work with cutting-edge hardware and proprietary software stacks.
Key Objectives:
Develop scalable machine learning models capable of processing real-time data streams in high-latency environments. Collaborate with quantum computing researchers to optimize neural network architectures for the post-silicon era.
Responsibilities
- Model Architecture: Design and deploy novel deep learning architectures optimized for edge computing and distributed systems.
- Research & Development: Conduct cutting-edge research in Large Language Models (LLMs) and reinforcement learning to solve complex, unsolved problems.
- Data Pipeline Engineering: Build robust, scalable data pipelines that handle petabytes of unstructured data with zero latency.
- Optimization: Fine-tune models for speed and accuracy, ensuring our 2026 roadmap targets are met with high efficiency.
- Collaboration: Partner with cross-functional teams including product managers, UX designers, and quantum engineers.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow, JAX).
- Technical Skills: Proficiency in Python, C++, and distributed systems (Kubernetes, Docker).
- Innovation: A track record of publishing research papers or patenting novel algorithms.
- Future-Forward Mindset: Passion for emerging technologies, including AR/VR, IoT, and quantum computing.