We are seeking a skilled Generative Machine Learning Engineer to lead the development of advanced deep learning systems that power location-based augmented reality experiences. In this role, you will design and deploy robust AI pipelines using state-of-the-art models, ensuring they scale efficiently in production environments.
Key Responsibilities
- Design and implement deep learning inference pipelines using modern generative models
- Maintain and optimize cloud infrastructure on Azure for reliable AI model deployment
- Develop automated CI/CD workflows using GitHub Actions and Docker for rapid, secure releases
- Collaborate with creative and product teams to prototype, test, and refine AI-driven features
- Securely manage backend inference services to support frontend applications
- Design database structures and serverless architectures to support scalable AI workloads
- Stay current with advancements in machine learning and adapt systems accordingly
What We’re Looking For
- Minimum of three years of hands-on experience building and deploying deep learning pipelines
- Proven experience with cloud platforms—Azure preferred, but AWS or GCP also accepted
- Strong technical foundation in PyTorch, Docker, Terraform, and automated testing with Pytest
- A collaborative mindset with the ability to work through complex challenges methodically
- Comfortable working in fast-moving environments with frequent iteration and feedback
Work Environment
This role offers hybrid work flexibility with the option to work remotely. We support adaptable schedules and prioritize personal ownership of projects. You’ll operate in a dynamic, team-oriented culture that values innovation in machine learning and continuous improvement.
Compensation and Growth
We offer a competitive salary, flexible working conditions, and clear pathways for professional development. Our employee-first approach fosters collaboration with both internal teams and external clients, ensuring your work has direct impact.
