Senior Machine Learning Engineer, Digital Twin Platform

📋 Description

• Design, develop, and deploy ML models for real-time in-store inventory understanding.
• Own the full ML lifecycle from problem framing to deployment with measurable business impact.
• Collaborate with software, computer vision, data science, and product teams to drive innovation.
• Contribute to core Digital Twin Platform infrastructure for data ingestion and observations.
• Operate in a startup-like environment with ambiguity and evolving priorities.

🎯 Requirements

• 5+ years building and deploying ML models in production.
• Strong Python skills; experience with TensorFlow, PyTorch, or scikit-learn.
• Experience with large-scale data pipelines and diverse data types.
• Cloud infrastructure experience (AWS, GCP, or Azure) and ML tooling for training, versioning, and
• Bachelor’s or higher in CS/ML/Statistics or equivalent practical experience.

🎁 Benefits

• Remote-friendly with Flex First approach; eligible for location-based compensation.
• Equity grants and annual refresh grants; comprehensive benefits package.