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Machine Learning Engineer - Coinbase
ML Engineer
Drive the next generation of financial products by building scalable ML models on AWS, leveraging Python, TensorFlow, and PyTorch to deliver data‑driven insights and automation for enterprise applications.
About the role
Key Responsibilities
- Design, develop, and deploy production‑grade machine learning models that power enterprise financial services.
- Collaborate with data scientists and software engineers to transform raw data into actionable features and pipelines.
- Implement scalable model training and inference workflows on AWS using SageMaker, ECS, and Lambda.
- Monitor model performance, conduct A/B testing, and iterate to improve accuracy and efficiency.
- Document model architecture, data lineage, and deployment processes for internal audit and compliance.
Requirements
- 5+ years of experience building ML solutions in a production environment.
- Proficiency in Python, TensorFlow or PyTorch, and SQL.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda).
- Strong understanding of data engineering concepts and pipeline orchestration.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced setting.
Skills
pythonmachine learningawstensorflowpytorch