ML-Driven Robotics Data Platform Engineer

Lab37; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

Lab37 Robotics in Pittsburgh seeks a Data/ML Platform Engineer to own the data and ML platform powering its robotics fleet. You will build ETL pipelines that transform robot telemetry into actionable analytics, and manage the ML training infrastructure for computer vision models running on robots.

You will work with a small, high-impact platform team to deliver data systems used by product teams, kitchen operations, and engineers deploying ML models to field robots.

Qualifications

• 2+ years of experience in data/platform engineering for robotics or manufacturing contexts.
• Proficient in building ETL pipelines, data warehousing, and model deployment.
• Collaborates closely with data scientists and product teams.

Responsibilities

• Build and maintain ETL pipelines ingesting robot telemetry into BigQuery.
• Manage ML training infrastructure with Argo Workflows on Kubernetes.
• Design data quality checks and observability dashboards for pipeline health.
• Own the data warehouse layer — schema design, incremental loading, and dbt transforms.
• Build dashboard infrastructure (Superset, Grafana) for real-time insights.
• Collaborate with data scientists to productionize model training pipelines.
• Contribute to infrastructure-as-code (Terraform) and CI/CD pipelines for data/ML workloads.
• Participate in on-call rotations for data pipeline reliability.

Skills

Data platform

ETL pipelines

ML training infra

Kubernetes

Argo Workflows

BigQuery

dbt transforms

Observability

Terraform

CI/CD

Superset

Grafana

Tools

BigQuery

Athena

dbt

Kubernetes

Argo Workflows

Terraform

Superset

Grafana

Job description

Lab37 Robotics in Pittsburgh seeks a Data/ML Platform Engineer to own the data and ML platform powering its robotics fleet. You will build ETL pipelines that transform robot telemetry into actionable analytics, and manage the ML training infrastructure for computer vision models running on robots.

You will work with a small, high-impact platform team to deliver data systems used by product teams, kitchen operations, and engineers deploying ML models to field robots.