Job Description
Are you ready to define the technological landscape of 2026?
Nebula Dynamics is on the hunt for a visionary Lead AI Architect to spearhead our next-generation artificial intelligence initiatives. As we accelerate towards a future defined by autonomous systems and deep learning, we need a technical mastermind to architect scalable, robust, and ethical AI solutions.
In this pivotal role, you won't just be maintaining existing systems; you will be building the foundational infrastructure for the technologies that will dominate the industry in 2026 and beyond. You will collaborate with world-class researchers and engineers to deploy models that push the boundaries of what is possible.
Why join Nebula Dynamics?
- Impact at Scale: Work on projects with billions of users, influencing the global standard for AI.
- Future-Proof Your Career: Be at the forefront of the AI revolution, specifically targeting the 2026 roadmap.
- Elite Team: Join a culture of innovation backed by top-tier funding and industry leaders.
- Top-Tier Compensation: Competitive base salary plus substantial equity packages.
Responsibilities
- Architect Advanced AI Systems: Design and implement scalable machine learning pipelines and neural network architectures aligned with the 2026 product roadmap.
- Lead Technical Strategy: Guide a team of data scientists and engineers in selecting the right models, tools, and frameworks for complex business problems.
- Optimize Performance: Drive initiatives to reduce latency, improve inference speeds, and optimize computational costs for real-time applications.
- Ensure Ethical AI: Establish and enforce guidelines for bias mitigation, transparency, and safety in AI deployment.
- Cross-Functional Collaboration: Partner with product managers and stakeholders to translate business goals into technical specifications.
- Research & Innovation: Stay ahead of the curve by evaluating emerging technologies (e.g., LLMs, reinforcement learning) and integrating them into the product suite.
- Mentorship: Foster a culture of continuous learning, mentoring junior engineers, and conducting code reviews.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
- Experience: 7+ years of experience in software engineering, with at least 4 years focused specifically on Machine Learning and Deep Learning.
- Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems.
- Architecture: Proven track record of designing large-scale ML systems that handle high concurrency and data throughput.
- Leadership: Demonstrated experience leading technical teams and managing project lifecycles from conception to deployment.
- Problem Solving: Ability to deconstruct complex problems and derive elegant, scalable engineering solutions.
- Communication: Excellent verbal and written communication skills for translating technical concepts to non-technical stakeholders.