Senior Machine Learning Engineer - Machine Learning Infrastructure - Remote

Overview

The Senior Machine Learning Engineer will design, build, and optimize the infrastructure that powers machine learning systems at Flip.shop, ensuring efficient deployment and monitoring of models.

In Short

• Design and implement scalable infrastructure for machine learning models.
• Optimize serving and training infrastructure.
• Enhance workflows for model training and serving.
• Build tools to automate model training and deployment workflows.
• Ensure high-performance model inference and minimize latency.
• Collaborate with data scientists and DevOps teams.
• Build monitoring systems for model performance and infrastructure health.
• Implement best practices in security and compliance.

Requirements

• Bachelor's degree in Computer Science or related field with 3+ years of experience.
• Proficiency in C/C++ or Golang within a Linux environment.
• Solid understanding of GPU architecture and performance analysis.
• Experience in deep model inference/training.
• Familiarity with machine learning frameworks like TensorFlow or PyTorch.
• Knowledge of MLOps practices.
• Experience with big data frameworks like Spark or Hadoop.
• Experience with open-source machine learning lifecycle management systems.

Benefits

• Opportunity to work with leading engineers and scientists.
• Be at the forefront of innovation in social commerce.
• Collaborative and fast-paced work environment.
• Chance to shape the future of social commerce.