Job Description
Shape the Future of Technology in 2026
Nebula Future Systems is on a mission to redefine the digital landscape. We are seeking a visionary Senior AI/ML Engineer to join our elite team and lead our strategic initiatives for the upcoming decade. As we gear up for the 2026 release cycle, we need a technical expert who can architect scalable, intelligent solutions that push the boundaries of what's possible.
In this pivotal role, you will not only build state-of-the-art machine learning models but also define the engineering culture that will sustain our growth. You will work at the intersection of deep learning, generative AI, and cloud infrastructure, collaborating with world-class researchers and product managers.
Why Join Us?
- Impact: Directly influence the roadmap for 2026 and beyond.
- Compensation: Competitive salary and equity package.
- Environment: Top-tier tech stack and a remote-first culture.
Responsibilities
- Architect and implement robust, scalable machine learning pipelines and infrastructure.
- Lead research and development efforts in Generative AI, Computer Vision, and Natural Language Processing.
- Optimize model inference latency and reduce operational costs for large-scale deployments.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence.
- Collaborate with product teams to translate complex AI concepts into user-friendly features.
- Stay ahead of industry trends to integrate cutting-edge technologies into our stack.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 5+ years of professional experience in software engineering and machine learning.
- Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Deep understanding of NLP, Transformers, or LLMs (Large Language Models).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.