ML & Cloud Infrastructure Engineer

About Us
We're a fast-growing startup building breakthrough AI technology at the intersection of 3D, computer vision, and spatial computing. Our work is shaping the way industries - from robotics and AR/VR to gaming and film - create and interact with immersive content.

We thrive on bold ideas, fearless problem-solving, and a culture that values creativity, collaboration, and excellence. If you're excited about working on complex technical challenges and want to be part of a team pushing the boundaries of what's possible in AI, we'd love to hear from you.

The Role
We're looking for a Cloud & ML Infrastructure Engineer to join our team. You'll play a key role in designing, building, and maintaining scalable systems that power cutting-edge machine learning workloads. From cloud infrastructure to distributed training environments, you'll help lay the foundation for delivering next-generation AI solutions.

Responsibilities

• Design, deploy, and maintain scalable, high-performance cloud-based infrastructure for ML workloads and APIs.

• Manage cloud platforms (AWS, Azure, GCP) including ML nodes for local development and distributed training.

• Install, configure, and monitor servers, ensuring smooth system performance.

• Optimize shared and local storage for big data ML workloads.

• Build and scale containerized applications using Docker, Kubernetes, Terraform, etc.

• Collaborate closely with ML engineers and developers to streamline workflows.

• Respond to production incidents, analyze root causes, and implement preventative solutions.

Key Qualifications

• 3+ years of professional experience in a cloud infrastructure or related role (ML experience preferred).

• Strong scripting skills (Bash, PowerShell, Python, etc.).

• Hands-on experience with cloud platforms (AWS, GCP, Azure).

• Proficiency in containerization and orchestration (Docker, Kubernetes).

• Expertise in managing and optimizing cloud-based systems at scale.

Preferred Skills

• Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch).

• Knowledge of monitoring tools (Prometheus, Grafana).

• Experience with cloud-based databases (RDS, Aurora, Redshift, Cloud SQL, etc.) and visualization tools (QuickSight, Superset).

• Understanding of CI/CD pipelines and tools (e.g., CircleCI).

Why Join Us

• Be part of a pioneering team shaping the future of AI and 3D technology.

• Work in a highly collaborative, innovative environment where your ideas matter.

• Opportunity to make a real impact on products that redefine how industries operate.

Inclusion & Diversity
We are committed to building a diverse and inclusive workplace. We welcome applications from people of all backgrounds, experiences, and perspectives, and ensure every candidate is treated fairly throughout the recruitment process.