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Data Platform Engineer

1 hour, 54 minutes ago
United States
Full-time
Senior
Data Engineer
Software Development
AWS CI/CD Dagster dbt Kubeflow LLM Machine Learning MLflow Python Snowflake
Apply Now
Figma

Figma

Figma provides a collaborative web application for interface design that enables users to seamlessly design, prototype, and gather feedback in real time, while also offering additional offline capabilities through desktop applications for macOS and Win...

Internet Software & Services
1K-5K
Founded 2012
$333M raised
View All Jobs 79

Description

  • Lead work on Figma’s AI data agent by owning the data-agent layer, building prompt-processing pipelines, instrumenting interactions, and delivering prompt-based usage analytics.
  • Own and evolve the ML and data platform, including model serving, feature pipelines, workflow orchestration, CI/CD for models, and production monitoring.
  • Build product-facing data systems and data products that make models and data first-class parts of the product experience.
  • Ship platform tooling that enables Data Science teams to deploy, iterate on, and operate models effectively.
  • Design and scale infrastructure for AI-assisted and natural language interfaces to data.
  • Drive cross-functional platform initiatives by aligning data contracts, SLAs, and system design across Data Science, AI/ML, Infrastructure, and Product.
  • Improve the developer experience for ML and data practitioners through robust abstractions, tooling, and platform capabilities.

Requirements

  • 5+ years of experience in data platform, infrastructure, or machine learning engineering, including at least 1+ year working on AI or ML systems.
  • Experience building and operating end-to-end ML systems in production, including training, evaluation, deployment, and monitoring.
  • Strong programming skills in Python or a similar language, with proven ability to build reliable, scalable systems and services.
  • Experience designing ML infrastructure such as model serving, feature pipelines, workflow orchestration, and scalable system architectures.
  • Proven ability to work cross-functionally and drive projects across Data Science, Engineering, Infrastructure, and Product.
  • Experience in data modeling and data product design.
  • Experience with ML platform tooling such as MLflow, Kubeflow, feature stores, or CI/CD for ML workflows is a plus.
  • Familiarity with LLMs, RAG systems, prompt processing, or AI-native infrastructure is a plus.
  • Experience building self-serve analytics platforms or internal data tools is a plus.
  • Experience with modern data stack technologies such as Snowflake, dbt, or Dagster, and cloud platforms such as AWS is a plus.

Benefits

  • Annual base salary range of $235,000 to $376,000 USD.
  • Equity compensation.
  • Health, dental, and vision coverage.
  • Retirement plan with company contribution.
  • Parental leave plus reproductive or family planning support.
  • Mental health and wellness benefits.
  • Generous PTO and company recharge days.
  • Learning and development stipend, work-from-home stipend, and cell phone reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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