Job Description
We are building the intelligence layer for the next decade. As a Senior AI/ML Engineer at Nebula Future Tech, you will lead the architectural design and deployment of our next-generation Generative AI suite. Our mission is to pioneer the technologies that will define the landscape of 2026 and beyond.
You will work at the intersection of cutting-edge research and scalable production engineering. If you are passionate about Large Language Models (LLMs), Reinforcement Learning, and building ethical, robust AI systems, we want to hear from you.
Why Join Us?
- Work on projects that are shaping the future of human-AI interaction.
- Competitive compensation and equity packages.
- Top-tier engineering stack and access to massive datasets.
Responsibilities
- Design and implement scalable deep learning architectures for Large Language Models (LLMs) and multimodal systems.
- Optimize inference pipelines for low-latency, high-throughput production environments using TensorRT and ONNX Runtime.
- Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) to improve model alignment and safety.
- Collaborate with product and design teams to integrate AI capabilities into consumer-facing applications.
- Establish MLOps best practices, CI/CD pipelines, and monitoring frameworks for continuous model evaluation.
- 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 field (or equivalent practical experience).
- 5+ years of professional experience in machine learning, deep learning, or natural language processing.
- Extensive experience with PyTorch, TensorFlow, or JAX.
- Strong background in training, fine-tuning, and deploying foundation models.
- Proven track record of shipping AI products to production at scale.
- Deep understanding of distributed computing systems and high-performance computing.