Senior Machine Learning Engineer Research Scientist - Plaid

Key Responsibilities

• Design, develop, and ship state‑of‑the‑art machine learning models that improve financial data connectivity and user experiences.
• Conduct original research, prototype novel algorithms, and publish findings internally to drive product innovation.
• Collaborate with data engineers, product managers, and software teams to integrate ML pipelines into scalable, production‑ready services.
• Optimize model performance, reliability, and cost on cloud platforms such as AWS, including monitoring and continuous improvement.
• Mentor junior engineers and contribute to best‑practice standards for model development, testing, and deployment.

Requirements

• 5+ years of professional experience building and deploying machine learning models in production.
• Expertise in Python and deep‑learning frameworks such as TensorFlow or PyTorch.
• Strong background in statistical modeling, computer vision, NLP, or related ML domains.
• Hands‑on experience with cloud services (AWS) and containerized deployment (Docker, Kubernetes).
• Proven ability to translate research concepts into robust, scalable software solutions.