remote
Senior Machine Learning Engineer - Content Shopping - Pinterest
ML Engineer
Lead end‑to‑end ML solutions for content discovery, building scalable models on AWS, and collaborating with cross‑functional teams to enhance user experience through data‑driven insights.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that power content recommendation and shopping experiences.
- Collaborate with data scientists, product managers, and engineers to translate business problems into scalable ML solutions.
- Build and maintain data pipelines and feature stores on AWS, ensuring high data quality and low latency.
- Optimize model performance and resource usage using TensorFlow, PyTorch, and distributed training techniques.
- Monitor model drift, conduct A/B testing, and iterate on models based on real‑world feedback.
Requirements
- 5+ years of experience in machine learning engineering, with a strong portfolio of production deployments.
- Proficiency in Python, TensorFlow/PyTorch, and AWS services (SageMaker, EC2, S3, Lambda).
- Solid background in data engineering, SQL, and building scalable data pipelines.
- Excellent problem‑solving skills and ability to communicate complex ideas to non‑technical stakeholders.
- Experience with MLOps practices, model monitoring, and continuous integration/deployment pipelines.
Skills
pythonmachine learningawstensorflowpytorch