Senior Machine Learning Engineer (Research Scientist) - DFAI

Plaid

Actively hiring Posted this week
New York City Posted 4 days ago $228,960$315,360 / year

At a glance

AI generated

TL;DR

As a Senior Research Scientist on Plaid’s Data Foundation and AI team in New York City, you will lead the development of machine learning infrastructure that transforms financial network data into scalable representations for various product use cases. Your day-to-day responsibilities include designing model architectures, pretraining objectives, and fine-tuning strategies, as well as building production-grade ML systems from training pipelines to monitoring frameworks. You will collaborate closely with cross-functional teams to adapt foundation models to specific business needs and validate their impact through rigorous experimentation. The role requires expertise in machine learning, AI, computer science, or a related field, ideally at the PhD level, along with 3-7 years of industry experience in building and deploying ML models. You will work on cutting-edge technologies such as Python, TensorFlow, PyTorch, and Kubernetes to address complex business problems within Plaid’s expansive financial network data ecosystem.

Skills

Python TensorFlow PyTorch Kubernetes Docker CI/CD Prometheus Grafana PostgreSQL AWS Git Jupyter Scikit-learn Pandas NumPy MLflow Hugging Face Transformers Apache Spark MLOps

What you'll do

  • Design model architectures and pretraining objectives for Plaid’s foundation model.
  • Develop fine-tuning strategies that generalize across various downstream product use cases.
  • Build and maintain production-grade ML systems, including training pipelines and serving infrastructure.
  • Create robust evaluation frameworks to measure model quality in diverse real-world applications.
  • Adapt foundation models to specific business needs and validate their impact through experimentation.

What we're looking for

  • MS or PhD in ML/AI/CS/Stats/Applied Math (PhD preferred).
  • 3-7 years of industry experience building and deploying ML models.
  • Proven ability to design model architectures for diverse use cases.
  • Experience with full lifecycle of ML systems, from development to monitoring.
  • Expertise in developing robust evaluation frameworks for model quality.
  • Strong collaboration skills with product and engineering teams across the company.
  • Ability to communicate and publish research findings internally and externally.

Employer

About Plaid

Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure

Plaid currently has 58 open roles on FindRole.

Listed pay typically runs $204,156–$281,196 across 58 roles with salary data.

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