Staff Machine Learning Engineer

Sourced from feeny.ai

Xometry is hiring a Staff Machine Learning Engineer to lead the design and delivery of complex ML systems on its AI/ML team. The role owns the AI/ML architecture for the DFM AI + IQE partner integration, building real-time ML serving, data pipelines, and observability across the digital thread. You will set engineering standards, mentor other engineers, and partner with data scientists, engineers, and product managers to bring high-impact ML capabilities to production.

• Own the end-to-end ML lifecycle from requirements gathering through release
• Architect the real-time ML serving layer and low-latency signal path for the DFM AI + IQE integration
• Define data contracts for model inputs/outputs and implement MLOps, governance, and observability
• Build cloud-based production systems powering real-time endpoints and MLOps
• Develop multi-quarter technical roadmaps and surface opportunity areas
• Apply best practices in automated testing, distributed computing, and secure software development
• Mentor engineers through design reviews, code reviews, and technical guidance

• Bachelor's degree in a STEM field or equivalent experience plus 6-8 years of ML engineering experience
• Track record of owning and delivering complex ML systems in production
• Deep expertise in Gradient Boosting, Deep Learning, and/or Generative AI frameworks
• Hands-on experience deploying real-time ML products at scale on AWS
• Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch
• Experience with MLOps practices: model monitoring, drift detection, automated retraining
• Proficiency with CI/CD, test-driven development, and infrastructure as code (e.g., Terraform)
• Experience profiling and optimizing ML deployments for latency and throughput
• Knowledge of containers, Kubernetes, and cloud-native distributed systems

• Experience with transformers, self-supervised pre-training, LLMs, or generative AI
• Background in manufacturing, supply chain, or marketplace environments