Job Description
We are on a mission to architect the digital intelligence that will define the year 2026 and beyond. At Nebula Horizon Labs, we don't just build software; we engineer the cognitive architecture of the future. We are seeking a visionary Senior AI/ML Engineer to join our elite R&D division and spearhead the development of next-generation Generative AI systems.
In this role, you will bridge the gap between theoretical neural networks and real-world, high-scale applications. You will work alongside world-class researchers and engineers to build autonomous systems capable of solving complex, unstructured problems. If you are passionate about the intersection of deep learning, ethics, and scalability, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that redefine the boundaries of technology.
- Competitive compensation package and equity options.
- Flexible remote-first culture with state-of-the-art equipment.
Key Responsibilities:
Responsibilities
- Spearhead the research and development of proprietary Large Language Models (LLMs) and transformer architectures.
- Design and optimize scalable inference pipelines to handle millions of daily requests with sub-millisecond latency.
- Implement robust data pipelines for training, validation, and testing using modern MLOps frameworks.
- Collaborate with product teams to translate complex AI capabilities into intuitive user experiences.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
- Ensure the ethical deployment of AI, focusing on bias mitigation and transparency.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (5+ years of experience required).
- Extensive experience with Python, PyTorch, or TensorFlow, including deep knowledge of CUDA.
- Proven track record of deploying production-grade machine learning systems.
- Strong understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Familiarity with vector databases (Pinecone, Milvus) and RAG architectures.
- Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.