Job Description
About Nebula Future Systems
We are pioneering the next generation of autonomous intelligence. As we prepare for the 2026 technological horizon, we are seeking a visionary Senior AI Engineer to architect scalable machine learning solutions that will define the future of enterprise automation.
In this role, you won't just implement existing models; you will push the boundaries of what's possible, designing systems that are resilient, efficient, and ready for the demands of tomorrow.
Why Join Us?
- Work on cutting-edge Generative AI and Agentic workflows.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a state-of-the-art office in SF.
The Role
You will lead a cross-functional team in building and deploying large-scale AI models. Your work will directly impact how businesses interact with technology in the coming decade.
Responsibilities
- Design and implement scalable machine learning pipelines and infrastructure using cloud-native technologies (AWS/GCP/Azure).
- Lead the research and development of Large Language Models (LLMs) and multimodal AI systems tailored for the 2026 market.
- Optimize model inference performance and reduce latency in real-time applications.
- Collaborate with product managers and engineers to translate complex business requirements into technical solutions.
- Establish best practices for MLOps, model monitoring, and ethical AI usage.
- Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
- Minimum of 5+ years of experience in machine learning engineering or data science.
- Proficiency in Python, PyTorch, TensorFlow, and scikit-learn.
- Strong experience with distributed systems and cloud platforms (AWS/GCP).
- Deep understanding of NLP, LLMs (e.g., GPT, Llama), and RAG architectures.
- Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).
- Excellent problem-solving skills and ability to work in a fast-paced startup environment.