Job Description
Shape the Future of 2026 and Beyond
Are you ready to architect the intelligence that will define the next era of technology? Nexus Future Systems is seeking a visionary Senior AI Research Scientist to lead our breakthrough initiatives in Generative AI and Autonomous Systems.
In this pivotal role, you won't just be writing code; you will be building the neural foundations for the products that will power the world in 2026. You will work with state-of-the-art hardware and collaborate directly with product leadership to turn theoretical research into market-defining solutions. Join a team of elite engineers pushing the boundaries of what's possible.
Why Join Us?
- Work on cutting-edge Large Language Models (LLMs) and multimodal AI systems.
- Competitive salary and equity package.
- Flexible remote-first policy with access to top-tier research facilities in San Francisco.
Responsibilities
- Design and implement scalable machine learning models focused on Generative AI and Predictive Analytics aligned with our 2026 roadmap.
- Lead a team of researchers in experimental model training, fine-tuning, and optimization of Large Language Models (LLMs).
- Collaborate with engineering teams to deploy AI solutions into production environments, ensuring low latency and high accuracy.
- Stay at the forefront of industry trends, specifically focusing on the evolving AI landscape leading up to 2026.
- Mentor junior researchers and foster a culture of innovation and technical excellence.
- Conduct rigorous A/B testing and model evaluation to optimize performance metrics and reduce bias.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field with 7+ years of experience in AI/ML.
- Deep expertise in Python, PyTorch, or TensorFlow, with a proven track record of deploying models at scale.
- Strong understanding of Deep Learning architectures, Natural Language Processing (NLP), and Computer Vision.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
- Exceptional problem-solving skills and the ability to translate complex business requirements into technical algorithms.
- Excellent written and verbal communication skills for technical presentations.