Quick Summary
Ensuring all recordings exist for each component, that recorded data is complete,
Job Title: Data Engineer
Reports to: VP AI
Location: France - Nice
Type: Full-time
The Position
MARSS is actively investing in Machine Learning to advance our NiDAR software across several exciting domains:
- Video Classification, Detection & Tracking
- Pattern Recognition / Anomaly Detection
- Radar Tracking
- Radio Frequency Analysis
Our current focus is primarily in video, with rapid expansion planned across the other fields. As our team grows, we are looking for a talented Data Engineer to join us.
Responsibilities
The Data Engineer will lead all data engineering tasks, including:
- Ensuring all recordings exist for each component, that recorded data is complete, and that recorders are functioning correctly across all deployments
- Designing and implementing data collection pipelines in an easily accessible, structured manner (including database management for relevant data types)
- Managing data distributed across multiple sites
- Staying informed of data recording regulations by country and implementing appropriate measures
- Managing annotations through tooling, data cross-referencing, or coordinating annotation campaigns
- Extracting meaningful metadata from datasets (event periodicity, site health warnings, usage statistics, etc.)
- Supporting the preparation of data for advanced ML models covering prediction, classification, tracking, sensor fusion, and more
Requirements
- Strong proficiency in Python, Bash, Docker, and Docker Compose for building and maintaining recording systems
- Strong SQL skills for designing and managing structured data storage and building robust data pipelines
- Highly organised, with proven experience handling large-scale datasets
- Comfortable working in Linux environments (macOS experience also welcome)
- Experience with ML frameworks such as TensorFlow, Keras, or PyTorch is a plus
Education
We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous
The Work Environment
- Pragmatic tooling: We develop primarily on Macs and Linux.
- Small, agile team: We embrace modern development practices, new ideas are always welcome, and we adopt what works best for us.
- Diverse & multicultural: A well-rounded mix of experienced engineers, sales and project managers, and talented recent graduates.
- Passionate: We genuinely love what we do.
Integration and interfacing
Our core focus is safety and security. We bring cutting-edge software to real-world hardware, no cloud abstractions here. We interface with a wide range of equipment: radar, sonar, thermal imaging, software-defined radios, and more. Our UI runs across touchscreens, tablets, phones, smart glasses, and beyond.
Challenges
This is not a routine role. We operate in mission-critical environments in high-security locations, often with limited connectivity. Your assumptions about cloud-native workflows will be regularly tested. Deadlines are real, and creative problem-solving is essential. If you thrive under those conditions, it can be an extraordinarily rewarding experience.
Location & Eligibility
Listing Details
- Posted
- February 15, 2023
- First seen
- June 6, 2026
- Last seen
- July 3, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 14%
- Scored at
- June 6, 2026
Signal breakdown
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