Senior Machine Learning Engineer
This listing is for a Senior Machine Learning Engineer role at Destinusgroup, in Zürich, Switzerland. It is listed as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Senior Machine Learning Engineer role at Destinusgroup, in Zürich, Switzerland. It is listed as a full-time, senior position.
Reading the advert, the employer asks for 5+ years of experience.
Skills and tools named in the text include Rust, C++, deep learning and computer vision.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
The advert does not mention visa sponsorship. If you would move to Switzerland for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 12, 2026.
- Employer
- Destinusgroup
- Location
- Zürich, Switzerland
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Experience asked
- 5+ years
- Found
- Nov 12, 2026 on Arbeitnow
- Employer text
- 373 words, about 2 min to read
- Apply only on the official page (arbeitnow.ch). Dev Global Jobs is not the employer and never asks for a fee.
- Compare your own experience with the 5+ years the advert asks for, and show it clearly near the top of your CV.
- Mirror the skills the advert names (Rust, C++, deep learning and computer vision) in your CV where you really have them; applicant tracking systems look for these words.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for Geneva (ICSC post adjustment 80.3), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Work permit B / L (non-EU quota): Highly qualified specialists, employer proves no Swiss or EU candidate; annual quotas
- EU/EFTA free movement permits: Registration for EU/EFTA nationals with a job
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
Imagine building intelligent systems that don’t just work in perfect lab conditions, but
perform reliably in the real world, where uncertainty is the norm and failure is not an
option. As a Machine Learning Engineer, you will push the limits of computer vision by
designing, training, and validating neural networks that operate in complex, safety-critical
environments. Your work will directly influence how autonomous systems perceive and
interact with the world, combining deep learning, simulation, and rigorous verification into
one seamless pipeline.
At Destinus, we are shaping the future of defense through high-speed, autonomous flight
technologies. We develop next-generation unmanned aerial systems that deliver greater
speed, precision, and efficiency, supporting governments and defense organizations in
mission-critical operations worldwide. Daedalean AG, the AI and autonomy hub of the
Destinus Group, plays a key role in this vision. Developing safety-critical AI systems at the
intersection of advanced research and real-world aviation. Enabling machines to perceive,
understand, and make decisions in real time. Together, we combine aerospace
engineering and artificial intelligence to build the next generation of autonomous flight
systems, driving innovation where it matters most.
01What You´ll Do
• Design, train, and optimize deep learning models for computer vision tasks in highly
dynamic and safety-critical environments
• Manage the development lifecycle of ML capabilities, from early-stage data
collection to the operational deployments of mature systems
• Develop robust evaluation pipelines to ensure models meet strict reliability and
safety requirements
• Leverage transfer learning and simulation to scale training and testing beyond realworld data limitations
• Collaborate closely with software, systems, and flight teams to integrate ML models
into real-world applications
• Continuously push model performance across edge cases, environmental
variability, and operational constraints
02Requirements
Strong programming skills in C++ or Rust
• At least 5 years of hands-on experience in deep learning for computer vision
• Experience across the full ML stack, including model design, distributed training
frameworks, evaluation pipelines and resource-constrained inference platforms
• Experience with simulation environments or synthetic data generation is a strong
plus
• Experience with working with integrated sensors, including infrared cameras
• Master’s degree or PhD in computer science, physics, mathematics, or a related
technical field- or equal proven practical experience
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