Computer Vision ML Engineer
Passio Inc.
Overview
Passionate about Artificial Intelligence, huge-scale data challenges, and applications of AI in nutrition, healthcare and human performance?
Read On. This could be your opportunity!
Passio is looking for a machine learning engineer to join our team in Menlo Park CA, Munich Germany or working remotely.
We created neural networks that run on-device, exhibit real-time performance and enable applications that were not feasible with the earlier technology. Take a look at how our edge-ai is applied in the field of food recognition.
We are looking for talented software engineers to help us take this technology to the next level.
Responsibilities
- Develop next gen computer vision networks for classification and segmentation
- Implement large-scale computer vision training pipelines
- Implement on-device training and federated learning systems
- Develop visual-semantic embeddings for learning joint spaces of visual & textual concepts
- Explore ways to speed up the performance of neural networks on edge devices.
Qualifications
- 2+ years of hands-on experience with computer vision neural networks
- Experience building computer vision training piplelines
- Experience with classification, segmentation and visual-semantic embeddings
- Experience with TensorFlow and training on cloud-based GPUs
- Experience deploying/running ML codes in the cloud and on the edge
- Agility and willingness to work in a rapidly growing startup environment
Requirements (Applicants not meeting these requirements will be discarded):
- Please share your GitHub or code portfolio
- Please describe (in 1-2 bullet points) your experience with computer vision projects
Why apply:
- You want to excel in a rapidly growing and highly demanding startup environment
- You pride yourself as a visionary engineer, researcher and developer and your ambition is to change the lives of millions of people
- You are humble and intellectually curious
- You can see the opportunity and are courageous enough to take it
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