Job Description
We are building the systems that will define the technological landscape of 2026. Nexus Future Systems is seeking a visionary Senior AI Research Engineer to architect the next generation of autonomous decision-making models.
As we bridge the gap between current AI capabilities and the futuristic requirements of 2026, you will work on large-scale transformer models, ethical AI frameworks, and real-time neural processing systems. This is an opportunity to shape the future of work and intelligence.
Why Join Nexus Future Systems?
- Work on cutting-edge technology that defines the era of 2026.
- Competitive compensation package and equity options.
- Flexible remote-first culture with a vibrant SF office.
- Access to state-of-the-art computing infrastructure.
Responsibilities
- Design and implement scalable neural network architectures for future-proof applications.
- Optimize model inference for edge devices and distributed cloud environments.
- Conduct research to mitigate bias and ensure ethical AI deployment in high-stakes environments.
- Collaborate with cross-functional teams to integrate AI into core product ecosystems.
- Publish research findings in top-tier conferences and journals.
- Lead technical mentorship for junior data scientists and engineers.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in deep learning frameworks (PyTorch, TensorFlow).
- Strong proficiency in Python, C++, and distributed computing (Kubernetes, Docker).
- Experience with Large Language Models (LLMs) and generative AI.
- Proven track record of leading technical projects from concept to deployment.
- Excellent communication skills to translate complex technical concepts for stakeholders.