Senior Machine Learning Engineer

Zip

United States, US
Base: $150,000- 161,000k; bonus/equity: not specif...
On-site
Databricks, spark, pyspark, sql
Ml platform engineering
Ml lifecycle end-to-end
This role sits at the intersection of data engineering and machine learning, focused on making ML systems reliable, observable, and scalable

Job Summary

  • This role sits at the intersection of data engineering and machine learning, focused on making ML systems reliable, observable, and scalable.
  • You will own the ML lifecycle end-to-end, from feature pipelines and model registry standards to CI/CD and model serving on Databricks (Azure).
  • This is a high-impact role for engineers who enjoy building platforms, solving complex distributed systems problems, and enabling the next generation of AI-driven capabilities across the business.

Matching Summary

This role sits at the intersection of data engineering and machine learning, focused on making ML systems reliable, observable, and scalable.

Salary

Base: $150,000- 161,000K; Bonus/Equity: Not specified; Benefits: Full range of medical, financial, and/or other benefits

Skills & Requirements

Must-have

  • Databricks, Spark, PySpark, SQL
  • ML platform engineering
  • ML lifecycle end-to-end
  • feature pipelines and model registry
  • CI/CD and model serving
  • production-grade ML systems
  • Azure cloud experience

Nice-to-have

  • Delta Live Tables and streaming
  • Iceberg or Lakehouse Federation
  • Vector databases or LLM infrastructure
  • Infrastructure-as-code experience

Key Requirements

  • 8+ years of experience in Machine Learning
  • Strong Spark Capability
  • MLOps & ML Systems experience
  • Cloud & Platform Experience
  • Experience working in Azure

Work Rights

Not specified

Tailored Resume

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