Senior Machine Learning Engineer (Research Scientist) - DFAI

Plaid

Actively hiring Posted this week
San Francisco 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 San Francisco, you will lead the development of foundational machine learning models that power various products by designing scalable architectures and pretraining strategies. Your daily work involves building end-to-end ML systems, including training pipelines, model serving infrastructure, and evaluation frameworks to ensure robust performance across diverse applications. You will collaborate closely with product and engineering teams to tailor these models for specific business needs and validate their effectiveness through rigorous testing. Key skills include a strong background in machine learning or related fields, typically at the PhD level, along with 3-7 years of industry experience in deploying ML models. The role requires expertise in Python, TensorFlow, PyTorch, and proficiency in cloud platforms like AWS or GCP for scalable model deployment.

Skills

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

What you'll do

  • Lead applied research for Plaid’s foundation model, designing architectures and pretraining objectives.
  • Build and maintain production-grade ML systems, including training pipelines and serving infrastructure.
  • Develop robust evaluation frameworks to measure model quality across diverse tasks and real-world applications.
  • Adapt foundation models to specific business needs in partnership with product and engineering teams.
  • Communicate and publish research findings internally and externally to advance AI practices within Plaid.

What we're looking for

  • MS or PhD in ML/AI/CS/Stats/Applied Math with 3-7 years of industry experience.
  • Proven track record of building and deploying machine learning models in production.
  • Expertise in designing model architectures, pretraining objectives, and fine-tuning strategies.
  • Experience in developing robust evaluation frameworks for diverse tasks and real-world applications.
  • Strong collaboration skills to adapt foundation models to specific business needs across teams.

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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