🎁 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 →
More about the role Deep Learning Engineers form the core of our team at Audatic. If you are excited to develop novel deep learning algorithms for audio processing, we have a fantastic job opportunity for you! Your responsibilities will include: Training state-of-the-art deep learning models that provide optimal quality and efficiency on our embedded device platforms. Experimenting with novel approaches such as new types of neural network architectures, loss functions, datasets, and evaluation metrics. Staying up to date with the latest innovations in deep learning research and identify new ideas for our project work and research initiatives. Developing and conducting automated hyper-parameter optimizations on our dedicated GPU cluster and custom deep learning software stack. Taking end-to-end ownership of deep learning projects from idea to product deliverable and provide guidance in technical discussions and code reviews. Contributing to learning efforts in the team like our regular journal club, brainstorming sessions, and co-learning through online courses. More about you You have: Bachelor’s or master’s degree in a technical field and at least 5 years of relevant experience or a Ph.D. in the field and at least 2 years of relevant experience Strong proficiency in Python with a demonstrated ability to write robust, clean and maintainable code Proven track record of publications or solving real-world problems with deep learning Dependable communication skills with full professional proficiency in English Experience with digital signal processing or audio processing Note: We care about growth, potential, and transferable skills. If you are passionate about this role but don't check every box, please apply anyway! More about what we offer At Audatic , you’ll be part of a diverse, international, and passionate team that values collaboration and innovation. We provide an environment that allows you to balance professional growth with personal well-being. Competitive compensation package 30 days of paid vacation Conference visits and the opportunity to publish relevant discoveries Free daily meals, drinks, and snacks at our green and modern office in the heart of Berlin Regular team events and a yearly retreat Company-sponsored public transport ticket (Deutschlandticket) Hybrid work model (at least 60% on-site)
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.