We are seeking a skilled Machine Learning Software Engineer to help us scale and optimize the way we process and evaluate large volumes of radar and sensor data. In this role, you will be responsible for implementing, maintaining, and testing our machine learning and data processing pipelines - critical tools used by our research teams to train, evaluate, and deploy models.

You will design and build systems that enable ML researchers to work efficiently with hundreds of hours of driving data collected across diverse environments. This includes creating robust, cloud-based tools for model training, visualization, hyperparameter tuning, and experimentation. You will also own the release process for ML models and pipelines, ensuring high software quality and enabling automated evaluation and tracking of key performance metrics.

As a core member of the engineering team, you will contribute to the broader software architecture and work cross-functionally with ML researchers, software developers, and product teams. You’ll have the opportunity to lead major initiatives, gather and refine requirements, make sound technical design choices, and define clear roadmaps and validation strategies.

Department: Engineering
Employment Type: Full Time
Location: Paris - Île-de-France
Workplace type: Onsite
Reporting To

Your Role

Scalable ML & Data Processing Pipelines
- Design, implement, and maintain robust, modular, and scalable data processing pipelines that support ML model training and evaluation on large-scale radar and sensor datasets.
- Own the software infrastructure for data preprocessing, ensuring high performance, reusability, and flexibility
Model Evaluation & Release
- Build tools to evaluate, inspect, and visualize model performance at scale, including metric tracking, qualitative playback, and custom scenario-based analyses.
- Own the model release process, including versioning, validation, and traceability.
Software Quality & Internal Tooling
- Lead the development of internal tools that accelerate ML workflows and improve collaboration.
- Translate experimental research code into production-quality systems.
- Advocate for strong software engineering practices (testing, CI/CD, documentation).

What We Look For

Proficiency in modern Python
Track record of development and maintenance of complex data processing pipelines
Strong experience with professional software development tools, such as source control (git), unit testing and testing within CI systems
Outstanding sense of ownership over your work
Excellent communication and cross-functional collaboration skills
Strong level of English

Bonus Points:

Experience with sensor data (e.g. camera, lidar, radar, IMU/GPS) and/or sensor fusion
Experience with cloud computing platforms (GCP or other) and Cloud-native ML workflow
Knowledge of data engineering and MLOps tools (Airflow, Kubernetes, Terraform).
Experience with modern C++, CUDA or GPU programming

What We Offer

Opportunity to make an impact at a young, venture-backed company in an emerging market
Competitive salary, shares and benefits
Lunch allowance, Carte Navigo and free snacks in the office
A working place in the center of Paris

Zendar is committed to creating a diverse environment where talented people come to do their
best work. We are proud to be an equal opportunity employer. All qualified applicants will
receive consideration for employment without regard to race, color, religion, gender, gender
identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran
status.

About Zendar

Zendar develops high-resolution radar imaging systems that enable next-generation safety features and driver-assistance technology that is reliable in all conditions and at sufficiently long range for high speed driving. Zendar has pioneered software-defined radar technology which fuses data streams from multiple sensors to build a more accurate scene and utilizes artificial intelligence models that interpret RF spectrum to understand the environment.

Zendar is headquartered in Berkeley, CA and has engineering offices in Germany and France.

Zendar has a diverse and dynamic team of electrical, mechanical, RF, algorithms and software engineers with a deep background in sensing technology. Backed by leading VCs and automotive Tier-1s, Zendar has raised more than $50M in funding and has established strong partnerships with industry leaders. Our team has more than doubled in number over the last year as our technology has gained traction.

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Our Hiring Process

Stage 1:

Applied

Stage 2:

Review

Stage 3:

Hiring Manager Screen

Stage 4:

Technical Interview

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