Top AI & Machine Learning Jobs

Design, build, and own scalable MLOps infrastructure for large 2D/3D multimodal datasets. Automate CI/CD and continuous training pipelines, implement dataset versioning and storage strategies, and deploy monitoring/observability systems to track model performance and data drift across production ML systems. Collaborate with ML, annotation teams, and TPMs to define requirements.

Implement and deploy deep-learning, computer vision, and procedural modeling algorithms (primarily in Python). Apply state-of-the-art ML and graphics research to convert large 2D/3D geospatial datasets into high-fidelity 3D content. Collaborate with founders on product vision, manage code with Git, and deploy/test at scale using Unix-based systems.

Lead end-to-end product development for Medallion data products and AI agentic workflows. Prototype and build AI capabilities alongside engineering, manage 2-3 business unit engagements, define roadmaps, prioritize reusable solutions, track adoption metrics, and drive cross-functional standards for data governance and responsible AI.

Implement and optimize C++ core algorithms for machine learning, computer vision, and 3D/procedural modeling. Apply cutting-edge research, manage code with Git, deploy and test on cloud and Unix-based systems, and work with large-scale geospatial datasets to generate user-facing 3D content.

Lead data curation and pipeline efforts for large 2D/3D media datasets. Coordinate with ML, annotation, and engineering teams to define data specs, ensure dataset quality, and translate project goals into production-ready training inputs.

Build and scale infrastructure for large 2D/3D media datasets; design CI/CD and continuous training pipelines for multimodal models; implement data versioning and storage for reproducibility and high-throughput access; deploy monitoring and observability systems; coordinate cross-functionally with ML, annotation engineers, and TPMs.

Implement deep-learning, computer vision, and inverse-procedural modeling algorithms in Python to convert large 2D/3D geospatial datasets into high-fidelity 3D content. Apply cutting-edge ML and graphics research, coordinate with founders to translate product vision into milestones, deploy and test code on remote Unix systems, and manage source code with Git.

Design and implement high-performance C++ systems for machine learning, computer vision, and 3D modeling. Apply research, optimize algorithms, manage source control with Git, deploy and test on cloud using Unix-based systems, and work with large-scale geospatial datasets to generate 3D content.

Implement deep-learning, computer vision, and inverse-procedural modeling algorithms to convert large 2D/3D and geospatial datasets into high-fidelity 3D content. Apply cutting-edge ML and graphics research, deploy and test code on remote Unix systems, and collaborate with founders to translate product vision into technical milestones while managing code with Git.

The Sr. Director will develop a technical learning ecosystem, partner with stakeholders to create learning initiatives, and manage talent pipelines.