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Senior Staff Machine Learning Platform Engineer

San Francisco, CA🌐 Remote💼 Full-time💰 $295,000–$295,000🗓 2026-08-19 → 2026-09-26

Core

Architect and evolve the company-wide ML platform to enable data science teams and production workloads for independent retailers.

Role type

Senior Staff Machine Learning Platform Engineer

Builds

Scalable ML workflows, training/inference systems, feature management, and governance infrastructure.

Domain

Retail technology, Cloud Infrastructure, Machine Learning Platform Engineering

Deliverable

production ML models | infrastructure

Required skills

Databricks lakehouse architecture, Unity Catalog, Spark, distributed systems, cloud architecture, technical leadership, MLOps, model lifecycle management

Preferred skills

LLM workflow integration, open source ML infrastructure contributions, research publications

Technologies

Databricks, Unity Catalog, Spark, Delta Lake, MLflow, Kafka, Snowflake, Iceberg, AWS, Kubernetes, Terraform, Python, PyTorch, PySpark

Responsibilities

Define long-term ML platform architecture, establish company-wide standards for code quality and MLOps, lead adoption of data/ML mesh patterns, optimize platform performance and cost, serve as senior technical advisor, mentor ML engineers

Seniority

Senior Staff, hands-on IC with strategic influence

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