Voxel

Machine Learning Engineer

• Turn research ideas, including transformers, ensemble models, and new detection and classification approaches, into production features from prototype through evaluation, rollout, and iteration
• Design and build perception pipeline components on a stream-processing architecture using Flink/PyFlink
• Work with the platform team on model serving, configuration management, and orchestration
• Own and improve production computer vision models, including training, evaluation, and inference optimization using Triton, TensorRT, and multi-backend serving
• Design logic that converts model outputs into trustworthy incidents through tracking, filtering, probabilistic reasoning, and state machines
• Build observability through metrics, dashboards, and evaluation loops
• Reduce end-to-end latency and cost while maintaining detection quality
• Partner with GTM, customer success, and data operations on customer rollouts, deployment tuning, labeling, and review quality
• Evaluate and integrate third-party ML tooling for orchestration, labeling, and dataset curation
• Drive adoption of ML tooling across the team
• Write design documents and requirements
• De-risk major changes with proofs of concept
• Provide technical leadership through design and execution without people management
• Mentor teammates through design reviews, code reviews, and context sharing

Senior Software Engineer, ML Systems