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Research Engineer, Preference Data

VizcomGenerative AI company
San Francisco, United States$220,000–$300,000 USDMid
Radical Ventures logo
Radical Ventures
Index Ventures logo
Index Ventures
Unusual Ventures
Basis Set Ventures
Sound Ventures
Nat Friedman
Data & AI

About the role

TL;DR

Build data systems to transform design work into ML training data.

  • Vizcom is seeking a Research Engineer to build the data flywheel that turns professional design work into training-grade preference data.
  • You will work alongside researchers and within product systems to capture and process signals from design sessions.
  • Key Responsibilities Design and implement instrumentation in production systems to capture relevant data.
  • Build data pipelines from canvas to warehouse to training set, ensuring data quality and reproducibility.
  • Establish dataset contracts and lineage for traceability and reproducibility.
  • Develop systems that uphold privacy and data boundaries for enterprise customers.
  • Create research-ready datasets that allow for safe and effective experimentation.
  • Requirements Experience building training-data infrastructure or large-scale data pipelines.
  • Strong software engineering skills for building reliable production systems.
  • Experience designing data models and pipelines with reproducibility and observability in mind.
  • Comfort working closely with researchers to translate ambiguous questions into measurable datasets.
  • Strong judgment around data quality and understanding signal absence.
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Required skills

PythonSQLSparkAirflowdbtSnowflakeDockerKubernetesGitLinuxPostgreSQLscikit-learnMLflowCI/CDREST API

Nice-to-have skills

TensorFlowPyTorchKerasOpenAI APIAnthropic APIGemini APILangChainHugging FaceComputer VisionNLP

Domain expertise

developer-toolsaiproductivity

Benefits & perks

100% employer-sponsored medical coverage for employees, plus 25% coverage toward dependents, Dental and vision coverage, plus mental health benefits, Meaningful equity ownership, Flexible PTO, 401(k) with employer match, Generous annual Learning & Development allowance, Paid parental leave, Weekly catered lunch at our San Francisco headquarters, Monthly gym membership stipend

Tech stack

PythonJavaScriptTypeScriptSQLBashReactNode.jsSparkAirflowdbtSnowflakeDatabricksAWSGoogle CloudAzureDockerKubernetesGitLinuxJiraGitLab CIPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBTensorFlowPyTorchscikit-learn

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