Job Description
Are you ready to architect the future of artificial intelligence? Quantum Dynamics Inc. is looking for a visionary Senior Machine Learning Engineer to lead our 2026 Horizon initiatives. We are building the next generation of Generative AI and Large Language Models, and we need a technical leader who can turn ambitious roadmaps into scalable, production-ready reality.
In this role, you won't just maintain existing systems; you will define the architecture that will power our products for years to come. You will work at the intersection of deep learning, scalable infrastructure, and ethical AI implementation.
Why join us?
We offer a competitive package, equity packages, and the opportunity to work on projects that redefine human-computer interaction. If you are passionate about the future of tech and want to be at the forefront of the 2026 revolution, we want to hear from you.
Responsibilities
- Architect and deploy advanced Machine Learning models focused on the 2026 technology stack, including multimodal AI and spatial computing.
- Lead the end-to-end MLOps lifecycle, ensuring models are trained, deployed, and monitored with high accuracy and low latency.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to define the 2026 product roadmap.
- Optimize algorithms for edge devices and cloud environments to ensure seamless performance.
- Establish best practices for AI ethics, bias mitigation, and data governance within the organization.
- Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 8+ years of experience in software engineering and machine learning, with at least 3 years in a leadership or senior architect role.
- Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
- Proven experience with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (AWS, GCP, or Azure).
- Strong understanding of NLP, LLMs, and transformer architectures.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.