Job Description
The Future of Intelligence Starts Here.
Nexus Future Systems is at the forefront of next-generation artificial intelligence, developing the autonomous systems and generative models that will define the 2026 era and beyond. We are seeking a visionary Senior AI Research Engineer to lead our core R&D initiatives in Large Language Models (LLMs) and predictive neural architectures.
In this pivotal role, you won't just write code; you will architect the cognitive frameworks of tomorrow. You will collaborate with a world-class team of quantum physicists, data scientists, and product strategists to build scalable, ethical, and groundbreaking AI solutions.
Why Join Us?
- Work on projects that have a tangible impact on global infrastructure.
- Competitive compensation package including equity and performance bonuses.
- Flexible remote-first policy with access to state-of-the-art labs in San Francisco.
If you are passionate about the intersection of machine learning and future technology, we want to hear from you.
Responsibilities
- Architect & Deploy: Design and implement cutting-edge neural network architectures for high-volume, low-latency inference systems.
- Model Optimization: Lead the optimization of LLMs for edge devices and cloud environments, ensuring efficiency and scalability.
- Research & Development: Explore novel algorithms in reinforcement learning and unsupervised learning to push the boundaries of AI capabilities.
- Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Ethical AI: Establish and enforce frameworks for responsible AI development, ensuring fairness and transparency in model outputs.
- Collaboration: Partner with cross-functional teams to translate complex research findings into production-ready products.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, 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 computing systems (Kubernetes, Apache Spark).
- Language: Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Innovation: A track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering significant product impact.
- Adaptability: Experience working in fast-paced, agile environments where requirements evolve rapidly.