Job Description
We are seeking a visionary Senior AI Research Engineer to join our elite team in San Francisco. As we prepare for the next generation of intelligent systems, you will be at the forefront of developing the algorithms that will define the landscape of 2026 and beyond. If you are passionate about pushing the boundaries of Generative AI, Large Language Models (LLMs), and autonomous agents, this is your opportunity to build the future.
Why Join Us?
At Nexus AI Solutions, we don't just predict trends; we set them. Our mission is to integrate advanced AI into every facet of enterprise operations, creating seamless human-machine collaboration. You will work with a world-class team of researchers, engineers, and product designers in a collaborative, high-performance environment.
Responsibilities
- Lead the research and development of cutting-edge Generative AI models and Large Language Models (LLMs) tailored for enterprise applications.
- Design and optimize deep neural network architectures to achieve state-of-the-art performance in natural language processing and computer vision.
- Collaborate with cross-functional product teams to translate complex research findings into scalable, production-ready AI solutions.
- Experiment with novel training methodologies, including Reinforcement Learning from Human Feedback (RLHF) and self-supervised learning.
- Conduct rigorous benchmarking and model evaluation to ensure accuracy, safety, and efficiency.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
- Experience: 5+ years of experience in research or applied machine learning roles, with a strong portfolio of publications or deployed models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
- Domain Expertise: Deep understanding of NLP, Transformers, or Deep Learning optimization techniques.
- Problem Solving: Proven ability to tackle complex, ambiguous problems and derive innovative solutions.
- Communication: Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical stakeholders.