Job Description
We are looking for a visionary Senior AI Engineer to lead our next-generation research division focused on the technologies of 2026 and beyond. At Nebula Dynamics, we aren't just building software; we are architecting the future of human-machine interaction. If you have a passion for generative models, autonomous systems, and scalable cloud infrastructure, this is your opportunity to define the roadmap for the next decade.
Why Join Us?
- Work with state-of-the-art hardware and proprietary LLM frameworks.
- Competitive compensation package with equity options.
- Remote-first culture with quarterly in-person innovation summits.
We are seeking an individual who doesn't just follow trends but sets them. You will be at the forefront of integrating Quantum AI into our production environments.
Responsibilities
- Architect and deploy scalable Machine Learning pipelines using PyTorch and TensorFlow.
- Lead the research and development of proprietary Large Language Models (LLMs) optimized for 2026 latency standards.
- Collaborate with cross-functional teams of data scientists, security experts, and product managers to define technical requirements.
- Mentor junior engineers and conduct code reviews to ensure best practices in MLOps.
- Optimize model inference speeds to support real-time decision-making systems.
- Stay abreast of emerging AI regulations and ethical guidelines to ensure compliance.
- Conduct A/B testing and performance analysis to drive continuous improvement.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 6+ years of experience in software engineering and machine learning.
- Deep expertise in Python, C++, and cloud platforms (AWS/GCP/Azure).
- Proven track record of shipping production-level AI models.
- Experience with Reinforcement Learning and Generative Adversarial Networks (GANs).
- Strong problem-solving skills and the ability to work in a fast-paced, ambiguous environment.
- Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.