Robotics Data & ML Platform Engineer

Lab37; Pennsylvania; On-site; USD 130,000 - 164,500; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Health Savings Account (HSA)

401(k)

Job summary

Lab37 Robotics is seeking a data/ML infrastructure engineer to own the data and ML platform powering our robotics fleet. You will build ETL pipelines from robot telemetry to analytics, manage ML training infra on Kubernetes, and ensure observability of the entire data stack.

You will work with a small platform team to deliver systems used by data scientists and engineers, collaborating on model training pipelines, dashboards, and CI/CD for data workloads.

Qualifications

• 2+ years in data engineering or ML infrastructure.
• Experience with workflow orchestration tools such as Argo, Airflow or Prefect.
• Proficiency with Python data stack (pandas, SQL) and production‑quality data pipelines.
• Experience with cloud data services (BigQuery, Athena, S3) or equivalents.
• Hands‑on building or maintaining ML training pipelines.

Responsibilities

• Build and maintain ETL pipelines ingesting robot telemetry into BigQuery for analytics and ML training.
• Manage ML training infrastructure using Argo Workflows on Kubernetes, covering data extraction, model training, evaluation and registration.
• Design and maintain data quality checks and observability dashboards for data pipeline health.
• Own the data warehouse layer: schema design, incremental loading, dbt transforms, and query optimization in BigQuery/Athena.
• Build dashboard infrastructure (Superset, Grafana) for real‑time insights used by kitchen operations and leadership.
• Collaborate with data scientists to productionize model training pipelines as reproducible workflows.
• Contribute to infrastructure‑as‑code (Terraform) and CI/CD pipelines for data and ML workloads.
• Participate in on‑call rotations for data pipeline reliability.

Skills

Argo Workflows

Airflow

Python

SQL

dbt

Kubernetes

Docker

BigQuery

Data Pipelines

AWS & GCP

Robotics data

Tools

dbt

BigQuery

Athena

Grafana

Superset

Terraform

Kubernetes

Job description

Lab37 Robotics is seeking a data/ML infrastructure engineer to own the data and ML platform powering our robotics fleet. You will build ETL pipelines from robot telemetry to analytics, manage ML training infra on Kubernetes, and ensure observability of the entire data stack.

You will work with a small platform team to deliver systems used by data scientists and engineers, collaborating on model training pipelines, dashboards, and CI/CD for data workloads.