Computer Vision Researcher Generative AI
Were seeking an ML R&D Engineer to play a key role in building and deploying cutting-edge AI solutions. Youll contribute to the full lifecycle of generative AI model development. This includes brainstorming new applications, creating prototypes, rigorously evaluating performance, making improvements, and working closely with a team of researchers and engineers to bring your creations to production. This is a hands-on role requiring strong technical skills and a passion for innovation.
Play a key role in developing and deploying generative AI models.
Ideate, prototype, and evaluate new applications.
Improve model performance to meet production standards.
Collaborate with researchers and engineers.
Play a key role in developing and deploying generative AI models.
Ideate, prototype, and evaluate new applications.
Improve model performance to meet production standards.
Collaborate with researchers and engineers.
Requirements:
Minimum Qualifications:
M.Sc. or Ph.D. in Deep Learning, Computer Vision, or a related field.
Experience in at least one of the following:
Publishing generative AI papers in top-tier conferences.
Developing deep learning models for production.
Knowledge of classical computer vision techniques and how to integrate deep learning models into a single feature.
Proficiency in Python and PyTorch.
Strong communication and teamwork skills.
Preferred Qualifications:
Prototyping experience (e.g., computer vision / LLM ) quickly implementing ideas for features from scratch.
Knowledge and experience with existing off-the-shelf and open-source models and frameworks (e.g., Hugging Face).
Keeping up to date with recent trends and papers in the Computer Vision community.
Experience with distributed training and large model optimization.
Experience with model efficiency techniques (quantization, pruning, etc.).
Minimum Qualifications:
M.Sc. or Ph.D. in Deep Learning, Computer Vision, or a related field.
Experience in at least one of the following:
Publishing generative AI papers in top-tier conferences.
Developing deep learning models for production.
Knowledge of classical computer vision techniques and how to integrate deep learning models into a single feature.
Proficiency in Python and PyTorch.
Strong communication and teamwork skills.
Preferred Qualifications:
Prototyping experience (e.g., computer vision / LLM ) quickly implementing ideas for features from scratch.
Knowledge and experience with existing off-the-shelf and open-source models and frameworks (e.g., Hugging Face).
Keeping up to date with recent trends and papers in the Computer Vision community.
Experience with distributed training and large model optimization.
Experience with model efficiency techniques (quantization, pruning, etc.).
This position is open to all candidates.
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