Senior Machine Learning Engineer, Digital Twin Platform

📋 Description

• Design, develop, and deploy ML models for real-time inventory understanding and shelf dynamics.
• Own the full ML lifecycle from problem framing to production deployment.
• Collaborate with software, CV, data science, and product leads on new tech and products.
• Contribute to building core Digital Twin Platform infrastructure and data ingestion.
• Navigate startup-like speed with ambiguity and changing priorities.

🎯 Requirements

• 5+ years in production ML model development and deployment.
• Python proficiency with TensorFlow, PyTorch, or scikit-learn.
• Experience with large-scale data pipelines and diverse data.
• Cloud experience (AWS, GCP, or Azure) and ML tooling for training, versioning, serving.
• Bachelors or higher in CS/ML/Statistics or equivalent.

🎁 Benefits

• Flex First remote-friendly policy; work location determined by you.
• New hire equity grants and annual refresh grants.
• Access to benefits programs and resources.
• Remote-friendly with in-person events and community building.