Machine Learning Engineer, US East Coast

Overview

Cobalt is seeking a Machine Learning Engineer to join its remote team focusing on the US East Coast. You will design, build, and deploy ML models that power our products and workflows.

Responsibilities

• Design, implement, and maintain end-to-end machine learning models and features.
• Collaborate with data scientists and software engineers to translate business problems into scalable ML solutions.
• Experiment with model architectures, features, and evaluation metrics; monitor and improve model performance in production.
• Develop data processing pipelines and feature engineering workflows; ensure data quality and reproducibility.
• Deploy models into production using CI/CD pipelines; monitor, log, and diagnose issues via MLOps practices.
• Contribute to technical documentation and present findings to stakeholders.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field; advanced degree preferred.
• 3+ years of hands-on machine learning engineering or equivalent experience; track record shipping models to production (remote experience is a plus).
• Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn); strong data manipulation with pandas/numpy.
• Experience with cloud platforms (AWS, GCP, or Azure) and ML deployment tools (Docker, Kubernetes, MLflow).
• Strong problem-solving, communication, and collaboration skills; ability to work independently with a remote-first team.
• Familiarity with data privacy and reproducible ML practices; comfortable working within East Coast business hours.

About Cobalt

Cobalt is building innovative ML-enabled solutions that drive product value. This role offers a remote-friendly, collaborative environment with opportunities to grow.