Our pipelines for model creation are well equipped to absorb academic research and tailor them according to our insights from daily operations. You will work on important innovations towards higher data efficiency, better explainability and runtime efficiency. This includes researching and developing training objectives, model architectures, transfer learning strategies, data augmentation and active learning policies with a focus on object detection and representation learning.
You will succeed if you bring the following technical skills:
- Python 3 and its Data Science Stack
- Git and associated development tools
- PyTorch or Tensorflow
- Experience with datasets for image classification, object detection or segmentation
- Fundamental OS know-how, Unix and its command line tools
It’s nice if you can show practical experience in any of those areas:
- Few-shot and representation learning
- Object detection
- Minification processes of machine learning models
- CUDA kernels, embedded Computer Vision
- Workflow and Task Management Systems
- Functional Programming or any Programming that shows your passion for CS
Our Tech Stack
- DL Frameworks: Pytorch, Torchvision, scikit learn
- DL Libraries: CUDA, ONNX, Torchscript, Albumentations, Kornia
- Frontend: React
- Backend: Django, AioHTTP, OpenAPI Generator, Dask Distributed
- Data: PostgreSQL, Redis, MlFlow, Prefect
- Traditional Computer Vision: OpenCV, FFmpeg
- Packaging: Docker, Kubernetes, Yarn
To learn more about the inner workings, visit our tech blog.
We are a team of 6 engineers and 6 people for BD and operations. You will work closely with the technical product owner, head of computer vision solutions, internal enterprise and app developers and partners that integrate with our API. We work hard to ensure our inclusive and diverse office is a workplace where many nationalities, ideologies and backgrounds thrive to cooperate with one another. It’s highly encouraged to participate in hackathons, visit conferences, organize meetups, and contribute to open source.
In many aspects, we set the pace for industry-wide and new AI solutions. Hence, creative yet organized teamwork is a must. Multilingual and multicultural background appreciated! We strive to maintain a professional spirit by:
- Working in an agile environment
- Encouraging ownership of core ideas and deliverables
- Being a mentor and being open to mentorship from colleagues
Our headquarter is in Vienna, Austria, the most liveable city of the world. We have social security, no crime, old and new cultures, good cuisine, affordable housing and vibrant people from all over. Our office is modern and well equipped with amenities for other than work activities too. Of course, we have an office dog. Olli provides plenty of opportunities to show him your affection. Also, we are neighbors with one of the coolest web agencies out there. As we like to say: there is no one boring week at MoonVision. And if you don’t feel like coming on a particular day, there is a Home Office option of at least one day per week.
First, we’ll check your potential fit based on skills and experience described in your application. If there is, we’ll send you a list of take-home exercises where you choose one that suits you. If the solution convinces our tech lead, we’ll do an interview and take it from there. At any point, feel free to ask your point of contact.
We onboarded people from many places around the world. Hence, supporting you with moving, visas and additional bureaucracy is possible.
- Home Office Days
- Sport Subscription Service
- Bring your own Pet Policy
- Fruit Basket
- Modern Office Amenities
- Leisure Equipment like gaming consoles
- Company Hackathons
- Flat Hierarchy
- Education Budget
- Choose your own working Laptop
Salary: minimum of € 40.000 (junior) and competitive solely depending on skill level for 40 hours per week (pro-rata for part-time).
Hours: Between 32-40h a week. We value a healthy work life balance. You will have 5 weeks paid vacation a year, full health insurance, pension plan and paid maternity leave.