Remote Senior Data Platform Engineer — ML Infra for Maritime Sensors

Nxt Level

Los Angeles, California (CA, MO)

On-site

USD 200,000 - 240,000

Full time

12 days ago
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Benefits offered by this job

Equity
Flexible PTO
Comprehensive medical/dental/vision

Job summary

Nxt Level is seeking a Senior Software Engineer, Data Platform to help build the real-time ML data platform behind autonomous marine systems. You will design systems that ingest, process, and store diverse sensor data to produce model-ready datasets for perception and analytics.

Join a mission-driven team focused on autonomy, sensing, and defense tech, delivering scalable data infrastructure while ensuring security, reliability, and reproducibility at scale.

Qualifications

  • Experience building data platforms or ML infrastructure.
  • Experience with dataset quality, lineage, and evaluation fidelity.
  • Strong Python and data tooling.
  • Experience with time-series or sensor data.
  • API/SDK development for data access.

Responsibilities

  • Build and operate a real-time ML data platform for autonomous marine systems.
  • Define how raw maritime signals become clean, labeled datasets for models.
  • Build post-processing pipelines for multi-sensor data.
  • Create backfill and reprocessing for historical data.
  • Apply filters and metadata enrichments across large datasets.
  • Establish lineage, versioning, and reproducibility for ML experiments.
  • Build dataset discovery and access APIs/SDKs.

Skills

Python
Data platforms
ML infrastructure
APIs/SDKs
Time-series data
Dataset versioning

Tools

PyArrow
Polars
Pandas
NumPy
SciPy
Airflow
MLflow
Weights & Biases

Job description

Nxt Level is seeking a Senior Software Engineer, Data Platform to help build the real-time ML data platform behind autonomous marine systems. You will design systems that ingest, process, and store diverse sensor data to produce model-ready datasets for perception and analytics.

Join a mission-driven team focused on autonomy, sensing, and defense tech, delivering scalable data infrastructure while ensuring security, reliability, and reproducibility at scale.

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