Job Description
The Future is Now. Quantum Dynamics Inc. is pioneering the next frontier of Artificial General Intelligence (AGI). As we prepare for the transformative era of 2026, we are seeking a visionary Senior AI/AGI Research Engineer to lead the development of scalable, ethical, and high-performance machine learning models. Join us in defining the cognitive architecture of tomorrow.
Why Join Us?
We offer a competitive compensation package, equity options, and the opportunity to work on cutting-edge technology that will redefine human-computer interaction. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.
Responsibilities
- Architect Scalable AI Systems: Design and implement robust distributed machine learning infrastructure capable of handling petabyte-scale datasets.
- Pioneer AGI Research: Lead research initiatives focused on reasoning, planning, and multi-modal learning for next-generation AI models.
- Optimize Model Performance: Fine-tune large language models (LLMs) and transformer architectures to achieve superior inference speeds and accuracy.
- Collaborate Across Disciplines: Partner with data scientists, product managers, and engineers to integrate advanced AI solutions into consumer-facing products.
- Ensure Ethical AI: Develop and enforce guidelines to prevent bias and ensure responsible deployment of autonomous systems.
- Mentor Junior Talent: Foster a culture of innovation by mentoring junior researchers and conducting technical workshops.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on AI/ML.
- Experience: Minimum 5 years of professional experience in machine learning research and software engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Spark).
- Research Background: Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or open-source contributions to major ML libraries.
- Problem Solving: Strong ability to debug complex system issues and optimize algorithms for production environments.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.