Job Description
Nebula Dynamics is pioneering the next era of artificial intelligence. We are seeking a visionary Advanced AI Research Engineer to lead our 2026 roadmap initiatives. You will work at the intersection of machine learning, neural architectures, and scalable distributed systems.
In this role, you won't just use existing tools; you will define the standards for the next decade of AI development. We are looking for someone who is obsessed with pushing the boundaries of what is possible with generative models and autonomous agents.
Why join us?
- Work on groundbreaking projects that will define the future of the industry.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a premium office in San Francisco.
Responsibilities
- Design and deploy proprietary large-scale transformer models tailored for complex enterprise applications.
- Optimize neural network inference to reduce latency by over 40% in high-concurrency environments.
- Collaborate with the ethics board to ensure responsible AI deployment and algorithmic fairness.
- Architect robust MLOps pipelines for automated retraining and model governance.
- Publish cutting-edge research findings in top-tier conferences and journals.
- Lead technical mentorship for junior researchers and data scientists.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Extensive experience in PyTorch, TensorFlow, or JAX with a focus on deep learning frameworks.
- Proven track record of publishing research papers or shipping production-grade AI models.
- Strong proficiency in distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
- Ability to translate complex technical concepts into actionable business strategies.