Job Description
We are seeking a visionary Senior AI Research Engineer to spearhead our initiatives for the Year 2026 roadmap. At Nebula Dynamics, we are building the infrastructure for the future of intelligent systems. You will work at the forefront of Generative AI, Large Language Models, and autonomous agents, pushing the boundaries of what is possible today to define the technology landscape of tomorrow.
Why Join Us?
- Work on cutting-edge technology that will shape the industry by 2026.
- Competitive compensation package including equity and health benefits.
- Collaborative environment with industry leaders in Silicon Valley.
- Flexible remote and hybrid work options.
If you are passionate about ethical AI, scalable architecture, and solving complex problems, we want to hear from you.
Responsibilities
- Lead the research and development of next-generation Large Language Models (LLMs) and foundation models.
- Design and implement novel neural architectures to improve model efficiency and accuracy.
- Collaborate with cross-functional teams of engineers, product managers, and designers to translate research into production-ready features.
- Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
- Optimize model inference pipelines for low-latency, high-throughput environments.
- Stay abreast of the latest advancements in AI to ensure our technology remains at the cutting edge.
- Contribute to open-source projects and publish high-impact research papers.
Qualifications
- PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in AI/ML research or engineering.
- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions.
- Deep understanding of natural language processing (NLP), transformers, and generative models.
- Experience with distributed training systems and cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.