Job description

Live sensor streams from autonomous systems at sea. Want to build the platform that makes all of that data trustworthy for ML? A company in the LA area is building autonomous maritime systems. Their ML and perception teams live on sensor data, and they need a platform that lets them process live signals, replay historical recordings and know exactly which data shaped a model or an eval. You build that platform, spanning software infrastructure, dataset quality and close work with the teams building the autonomy itself. What you'll own • Pipelines that ingest and process high-volume sensor and telemetry data for ML and analytics • Aligning and calibrating data across sensors, for near-real-time processing and repeatable historical reprocessing • Traceable datasets through versioning, metadata and lineage, so every experiment can be reproduced • Data-discovery interfaces and access patterns that help ML and perception teams find the right data fast • Measuring completeness and quality, digging into failures and keeping things reliable as volume grows • Turning shifting model needs into durable data contracts, together with ML, hardware and product What you bring • You've built and run serious data platforms, ML data infrastructure or large-scale processing pipelines • Strong Python, with hands-on use of tools like PyArrow, Polars, Pandas or NumPy • Experience with sensor, time-series, audio, vision or similarly complex data • A solid grasp of dataset quality, reproducibility and how downstream users access data • You own technical decisions and work easily across software and ML teams Bonus points • Sonar, maritime, robotics, autonomy or other sensor-rich environments • Orchestration, metadata or experiment-tracking tools • Backfills, labeling workflows, data APIs/SDKs or storage optimization at scale What's in it for you • $200k–$240k base + equity • Full-time, Torrance, California • Data work that directly shapes how autonomous systems at sea see the world Does this sound like you? Apply now. If you're a match, we'll be in touch within 3 working days. RnB Consultancy | Netherlands | 3604 AB Maarssen | KvK 71489703

Requirements

Must-haves

Live sensor streams from autonomous systems at sea. Want to build the platform that makes all of that data trustworthy for ML?
What you'll own
Pipelines that ingest and process high-volume sensor and telemetry data for ML and analytics
Aligning and calibrating data across sensors, for near-real-time processing and repeatable historical reprocessing
Traceable datasets through versioning, metadata and lineage, so every experiment can be reproduced
Data-discovery interfaces and access patterns that help ML and perception teams find the right data fast
Measuring completeness and quality, digging into failures and keeping things reliable as volume grows
Turning shifting model needs into durable data contracts, together with ML, hardware and product
You've built and run serious data platforms, ML data infrastructure or large-scale processing pipelines
Strong Python, with hands-on use of tools like PyArrow, Polars, Pandas or NumPy
Experience with sensor, time-series, audio, vision or similarly complex data
A solid grasp of dataset quality, reproducibility and how downstream users access data
You own technical decisions and work easily across software and ML teams

Nice-to-haves

Sonar, maritime, robotics, autonomy or other sensor-rich environments
Orchestration, metadata or experiment-tracking tools
Backfills, labeling workflows, data APIs/SDKs or storage optimization at scale

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlpython

Platform: manatal
Effort: medium

Benefits

Benefits detected in the listing.

Vision