🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
As an ML Engineer (m/f/d), you will be a key contributor within our development team. Your responsibilities include preparing and selecting data, training and validating models, as well as deploying them on real embedded UAVs, UGVs, and USVs to enhance their capabilities. You will work within a world-class team to help push the boundaries of autonomous drone technology. In this role, you collaborate closely with stakeholders from hardware development, testing, production, and customer operations, driving continuous improvements in the autonomy of our UxV platforms. By advancing intelligent autonomy, you will actively support Quantum Systems’ mission to set the benchmark for next-generation UxV solutions. Within this advertisment we are open to hiring people with the following profiles: ML Engineer (Generalist) Proven track record designing and training deep learning models for production use Experience with model optimization for resource-constrained environments (quantization, pruning, distillation) Deep expertise in computer vision architectures or VLAs Architecture ML Platform Engineer (MLOps) Experience building and maintaining ML training and inference pipelines Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with GPU cluster management and high-performance computing environments Data Engineer (Geospatial Data & Sensor Fusion) Experience managing large-scale datasets, including geospatial, image, or sensor data Familiarity with drone-generated data types (imagery, LiDAR, telemetry, flight logs) Experience with data quality assurance, annotation workflows, and labelling platforms Experience with generation of syntetic data and simulation
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
