Home › Companies › Marss › FR - Machine Learning Engineer
FR - Machine Learning Engineer
Marss · Nice, 06200, France · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Marss |
| Title | FR - Machine Learning Engineer |
| Normalized title | - |
| Department / team | Software |
| Location | Nice |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2019-10-16 / 2026-06-06 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Marss. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Nice. | Open |
| Department jobs | Active postings in Software. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Marss |
| Source | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| ATS provider | BambooHR |
Description
Position: Machine Learning Engineer
Location: France - Nice
Reporting: VP ML/AI
Role: Full-time
The Position
MARSS is investing in the Machine Learning field in order to improve our NiDAR software in the following areas:
Video Classification, Detection, Tracking
Pattern recognition / Anomaly detection
Radar tracking
Radio Frequency analysis
Our current focus is strongly in the video area, but we aim at growing quickly our experiments in the other fields.
Our team is growing, and we expect the Machine Learning activity to grow the most.
Reporting to our VP ML/AI, we expect the new hire to:
help collecting and categorizing data from public sources but also our customer base (when authorized)
help with training data - we outsource annotation, but data still needs to be validated and sometimes annotation transformed for the appropriate network;
in particular, we build our own tools to help filter and validate the data and the training results, and we expect to keep improving
test performance and compatibility of new hardware, not only in the Nvidia world with the edge Jetson platform, but also on programmable FPGA or pure server-grade CPU with Intel
test, improve, and tune existing algorithms (neural networks, Bayes/Markov, decition trees, reinforcement networks, Gaussians...)
convert existing solutions (and training data) to different frameworks
Requirements
We are technology agnostic but favor TensorFlow, Keras, and PyTorch;
Good Python knowledge is important both for the data analysis but also for understanding integration into our backend (which is python based).
We work on Linux (although laptops are Mac, which is now a second class citizen to Nvidia...)
We require either working experience or at least appropriate theoretical knowledge (or both).
Education
We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous.
Integration and interfacing
Our core activity is maritime safety and security applications. We're bringing the latest web technologies to real-world hardware i.e. we don't just work in the cloud. We interface with very diverse equipment: radar, sonar, thermal imaging, software-defined radios and more. Our UI runs on touchscreen displays, tablets, phones, smart-glasses...
Challenges
If you are looking for an easy job, this isn't it. We operate in mission critical environments. Our systems can operate at sea and high security areas with limited connectivity to the data center. So, all your assumptions about cloud development techniques and operating environments will be constantly challenged. Timelines are strict, and creativity is often required to solve unexpected technical issues. It can be extremely diverse, interesting and rewarding if you are up to the challenge.
The Work Environment
Development on Macs and Ubuntu: We're pragmatic so realize we also have to work with Windows occasionally.
Prestigious location: Overlooking the Monaco Grand Prix track and port.
Outdoor sport paradise: Nearby mountains and skiing, cycling opportunities, and obviously the sea
Small team: Embracing modern development practices. New ideas are always encouraged and we'll try most things, but we always settle on what works for us.
Diverse team (in a good way): Our local team in Monaco is very multicultural including experienced engineers balanced with the brightest young graduates.
Passionate: We are passionate and enjoy what we do!
Full job record
| Job ID | dd6275dfdf0abb3c47aa7b850bde100ce16b7a24 |
| Org ID | c6795a1a-a8eb-4c8f-ab6b-12150450e6a0 |
| Source ID | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| Board ID | 5120fc89-a1b7-4f74-9fce-fe0400be6b04 |
| Provider | bamboohr |
| Provider Job Key | 10 |
| Title | FR - Machine Learning Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Nice, 06200, France |
| Department | Software |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | Nice |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://marss.bamboohr.com/careers/10 |
| Apply URL | https://marss.bamboohr.com/careers/10 |
| First Seen At | 2026-06-06 10:21:08Z |
| Last Seen At | 2026-06-06 10:21:08Z |
| Last Checked At | 2026-06-06 10:21:08Z |
| Last Changed At | 2026-06-06 10:21:08Z |
| Inactive At | — |
| Source Posted At | 2019-10-16 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=marss/date=2026-06-06/2026-06-06T10-21-06-296Z-7ed1980a7009efbed742396c4057ef4c94bb83ea3391e950796fa3f5aa3151b3.json |
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"description": "<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Position: Machine Learning Engineer</span></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Location: France - Nice</span></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Reporting: VP ML/AI</span></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Role: Full-time</span></p>\n<p><span style=\"font-family: Lato, sans-serif\"> </span><span style=\"font-family: Lato, sans-serif\"><br></span></p>\n<p><span style=\"font-family: Lato, sans-serif; font-size: 22px; font-weight: bold\">The Position</span></p>\n<p><span style=\"font-family: Lato, sans-serif\">MARSS is investing in the Machine Learning field in order to improve our NiDAR software in the following areas:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Lato, sans-serif\">Video Classification, Detection, Tracking</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">Pattern recognition / Anomaly detection</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">Radar tracking</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">Radio Frequency analysis</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif\">Our current focus is strongly in the video area, but we aim at growing quickly our experiments in the other fields.</span></p>\n<p><span style=\"font-family: Lato, sans-serif\">Our team is growing, and we expect the Machine Learning activity to grow the most.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif\">Reporting to our VP ML/AI, we expect the new hire to:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Lato, sans-serif\">help collecting and categorizing data from public sources but also our customer base (when authorized)</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">help with training data - we outsource annotation, but data still needs to be validated and sometimes annotation transformed for the appropriate network; </span></li>\n<li><span style=\"font-family: Lato, sans-serif\">in particular, we build our own tools to help filter and validate the data and the training results, and we expect to keep improving</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">test performance and compatibility of new hardware, not only in the Nvidia world with the edge Jetson platform, but also on programmable FPGA or pure server-grade CPU with Intel</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">test, improve, and tune existing algorithms (neural networks, Bayes/Markov, decition trees, reinforcement networks, Gaussians...)</span></li>\n<li><span style=\"font-family: Lato, sans-serif\">convert existing solutions (and training data) to different frameworks</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif; font-size: 22px; font-weight: bold\">Requirements </span></p>\n<ul>\n<li><span style=\"font-family: Lato, sans-serif\">We are technology agnostic but favor TensorFlow, Keras, and PyTorch; </span><br></li>\n<li><span style=\"font-family: Lato, sans-serif\">Good Python knowledge is important both for the data analysis but also for understanding integration into our backend (which is python based).</span><br></li>\n<li><span style=\"font-family: Lato, sans-serif\">We work on Linux (although laptops are Mac, which is now a second class citizen to Nvidia...)</span><br></li>\n<li><span style=\"font-family: Lato, sans-serif\">We require either working experience or at least appropriate theoretical knowledge (or both).</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Education</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif\">We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Integration and interfacing</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif\">Our core activity is maritime safety and security applications. We're bringing the latest web technologies to real-world hardware i.e. we don't just work in the cloud. We interface with very diverse equipment: radar, sonar, thermal imaging, software-defined radios and more. Our UI runs on touchscreen displays, tablets, phones, smart-glasses...</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">Challenges</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif\">If you are looking for an easy job, this isn't it. We operate in mission critical environments. Our systems can operate at sea and high security areas with limited connectivity to the data center. So, all your assumptions about cloud development techniques and operating environments will be constantly challenged. Timelines are strict, and creativity is often required to solve unexpected technical issues. It can be extremely diverse, interesting and rewarding if you are up to the challenge.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Lato, sans-serif; font-weight: bold\">The Work Environment</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-family: Lato, sans-serif\"><span style=\"font-weight: bold\">Development on Macs and Ubuntu:</span> We're pragmatic so realize we also have to work with Windows occasionally.</span></li>\n<li><span style=\"font-family: Lato, sans-serif\"><span style=\"font-weight: bold\">Prestigious location:</span> Overlooking the Monaco Grand Prix track and port.</span></li>\n<li><span style=\"font-family: Lato, sans-serif\"><span style=\"font-weight: bold\">Outdoor sport paradise:</span> Nearby mountains and skiing, cycling opportunities, and obviously the sea</span><br></li>\n<li><span style=\"font-family: Lato, sans-serif; font-size: 15px\"><span style=\"font-weight: bold\">Small team:</span> Embracing modern development practices. 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