Job Description
About Nexus Future Labs
We are pioneering the technologies that will define the 2026 landscape. As a leader in generative AI and next-gen computing, we are looking for a visionary Senior AI Research Engineer to join our elite San Francisco team. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and shaping the roadmap for the future, this is your opportunity to lead high-impact projects.
Why Join Us?
At Nexus Future Labs, we don't just predict the future; we build it. You will have access to cutting-edge infrastructure, collaborate with world-class researchers, and work on problems that have never been solved before.
Responsibilities
- Lead Research Initiatives: Spearhead the research and development of novel AI models, specifically focusing on Large Language Models (LLMs) and multimodal systems for the 2026 roadmap.
- Model Optimization: Drive the optimization of inference latency and cost-efficiency for production-grade AI applications.
- Technical Leadership: Mentor a team of junior researchers and engineers, fostering a culture of innovation and rigorous scientific inquiry.
- Cross-Functional Collaboration: Partner with product managers and engineering teams to translate theoretical research into scalable, real-world solutions.
- Ethical AI: Establish and enforce frameworks for AI safety, fairness, and transparency in our development processes.
- Patent & Publication: Author high-impact research papers and secure patents for proprietary algorithms.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
- Experience: 5+ years of professional experience in machine learning, deep learning, or a related research field.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Experience with distributed training and model serving frameworks (e.g., Kubernetes, Ray).
- Research Focus: Strong background in NLP, Reinforcement Learning, or Generative Adversarial Networks (GANs).
- Communication: Excellent ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Problem Solving: Demonstrated ability to solve ambiguous, open-ended problems with innovative solutions.