Job Description
Are you ready to architect the future of intelligence?
Nebula Horizon Technologies is at the forefront of the 2026 AI revolution. We are looking for a visionary Senior AI/ML Engineer to lead our Generative AI division. If you have a passion for pushing the boundaries of Large Language Models and Neural Networks, this is your opportunity to join a team that defines the standard for tomorrow's technology.
Why Join Us?
- Impact: Build core models that will power enterprise solutions for decades to come.
- Culture: Work in a high-performance, inclusive environment with top-tier engineers.
- Perks: Competitive equity, unlimited PTO, and state-of-the-art computing infrastructure.
We are looking for a builder who thrives in ambiguity and loves solving complex problems with elegant code.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art Generative AI models (LLMs) using PyTorch and TensorFlow.
- System Optimization: Architect scalable infrastructure for model deployment, ensuring low-latency inference and high availability.
- Research & Innovation: Stay ahead of the curve on emerging AI research papers and implement novel architectures to improve model accuracy.
- Data Engineering: Collaborate with data scientists to curate high-quality datasets and implement robust data pipelines.
- Code Review: Mentor junior engineers and maintain the highest standards of code quality and documentation.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent experience).
- Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with distributed computing (e.g., Ray, Kubernetes) is highly preferred.
- Specialization: Strong background in Natural Language Processing (NLP) or Computer Vision.
- Communication: Excellent ability to translate complex technical concepts into actionable insights for non-technical stakeholders.