Computer Vision Engineer - Generative AI
Do you have a strong background in generative AI, stable diffusion, and image segmentation? Check out this fantastic remote role with a media production start-up.
This innovative company is looking for a Computer Vision Engineer with a strong industry background in Generative AI. The company just received a new round of funding and is looking to capitalize on Generative AI's growing relevance to make large strides in the media production industry.
This will be a senior-level role that will require industry experience with generative AI, stable diffusion, and image segmentation. Python and C++ are required and familiarity with GPUs, GANs, etc. is a major plus. The ideal candidate is highly experienced with computer vision/machine learning, generative AI, GANs, and the e-commerce space.
The role is fully remote, and you will be collaborating daily with another CV engineer to leverage generative AI for media production purposes. The team has a fantastic collaborative culture and is looking for someone that genuinely loves start-up environments and works well in a team setting. Strong communication and collaboration skills are also must-haves for this role. The team needs someone who can hit the ground running in a generative AI role. So experience with the production of a generative AI/diffusion model product from start to finish will be very useful in this role.
YOUR SKILLS AND EXPERIENCE
- 3+ years of experience in AI, GANs, GPUs, and CV/ML engineering
- 2+ years of experience with generative AI (not just NLP)
- Ability to produce solutions independently, communicate effectively, and be able to work in or with a team
- Experience with end-to-end product lifecycles
- Experience with image segmentation, object detection, and image/object identification, classification, and enhancement
- Experience training ML models leveraging transformers and neural networks for CV & generative AI
You can expect to earn up to $230,000 as a Computer Vision Engineer, along with competitive benefits, stock options, and a fantastic culture.
HOW TO APPLY
Please register your interest by sending your resume to Nicolas Gonzales via the apply link on this page.
Computer vision, AMR, deep learning, AI, Autonomy, ML engineer, generative ai, computer science, artificial intelligence, stable diffusion, Python, ecommerce, imaging, research, diffusion model, R&D, GPU, GANs, C++, Pytorch, media production
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