Job Description
We are looking for a visionary Senior AI Research Engineer to lead the next generation of intelligent systems at Nebula Dynamics. As we gear up for the technological milestones of 2026, we are seeking a pioneer who can bridge the gap between theoretical machine learning and scalable production infrastructure. In this role, you will define the architectural standards for our upcoming breakthroughs in Generative AI and Autonomous Decision Systems.
Join a world-class team in the heart of Austin, where your work will directly influence the future of human-computer interaction. You will have the autonomy to explore cutting-edge research while delivering practical solutions that drive real-world impact.
Why Join Us?
- Work on forward-looking projects for the year 2026.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a collaborative office hub.
- Access to state-of-the-art compute infrastructure.
Responsibilities
- Lead Research Initiatives: Spearhead the design and implementation of advanced Machine Learning models, focusing on scalability and efficiency for the 2026 roadmap.
- Model Optimization: Translate complex research findings into production-ready code, optimizing model inference speed and reducing latency.
- Technical Leadership: Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning within the AI division.
- Collaboration: Partner with cross-functional teams including Product Management, Data Engineering, and UX Design to align technical solutions with business goals.
- Code Review & Standards: Establish and maintain rigorous coding standards and architectural guidelines to ensure code quality and system stability.
- Publishing: Contribute to the open-source community and publish research papers in top-tier conferences (NeurIPS, ICML, etc.) to establish thought leadership.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Experience: 5+ years of professional experience in Machine Learning or Artificial Intelligence, with at least 2 years in a senior or lead role.
- Programming: Expert proficiency in Python, with deep experience in PyTorch, TensorFlow, or JAX.
- Algorithms: Strong foundation in algorithms and data structures, with specific expertise in Deep Learning architectures (Transformers, GNNs, RNNs).
- Deployment: Proven track record of deploying large-scale ML models into production environments using cloud platforms (AWS, GCP, or Azure).
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.