Job Description
We are at the precipice of the next major technological leap. Nexus AI Labs is seeking a visionary Senior AI Research Engineer to spearhead the development of our proprietary models for the 2026 roadmap. You will work on cutting-edge generative AI, optimizing large language models for enterprise deployment, and defining the future of human-AI interaction.
Join a team of world-class researchers and engineers dedicated to pushing the boundaries of what is possible with Artificial Intelligence.
Why Join Us?
- Work on next-generation AI models that will define the 2026 landscape.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to state-of-the-art compute infrastructure and research grants.
Responsibilities
- Architect and train next-generation Large Language Models (LLMs) and multimodal systems focused on the 2026 vision.
- Optimize model inference speed and reduce computational costs using techniques like quantization and pruning.
- Collaborate with product teams to translate complex research concepts into scalable, deployable APIs.
- Conduct rigorous experimentation and evaluation of novel algorithms to improve model accuracy and safety.
- Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.
- Stay ahead of the curve by monitoring global AI trends and integrating emerging technologies into our stack.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of experience in research or applied machine learning roles, with a focus on Deep Learning.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Proven experience in training and fine-tuning LLMs (e.g., GPT, Llama, or similar architectures).
- Experience with distributed training and high-performance computing clusters.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, ambiguous environment.