Merz Aesthetics is looking to develop and optimize algorithms for image analysis and enhancement using artificial intelligence and machine learning techniques to fuel confidence by helping people look better, feel better, and live better.
Requirements
- Proficiency in Python and familiarity with libraries such as OpenCV, NumPy, and Pandas.
- Basic understanding of machine learning concepts and algorithms (e.g., supervised learning, CNNs).
- Knowledge of image filtering, transformations, and color space conversions.
- Experience or coursework in TensorFlow or PyTorch.
- Understanding of linear algebra and probability as applied to computer vision.
- Familiarity with Git for code collaboration.
- Strong knowledge of Python and libraries such as OpenCV, TensorFlow, PyTorch.
Responsibilities
- Preprocessing and augmenting image datasets for model training.
- Implementing and fine-tuning deep learning models (e.g., CNNs, GANs) for tasks such as object detection, segmentation, and image quality improvement.
- Applying computer vision techniques for feature extraction and pattern recognition.
- Evaluating model performance using metrics like accuracy, precision, and recall, and iterating for improvements.
- Collaborating with the engineering team to integrate AI-driven image processing solutions into production workflows.
- Conduct User Research and Analysis
- Participate in gathering user and software requirements through interviews, surveys, or usability testing
Other
- Ability to clearly document work and collaborate in a team environment.
- Currently enrolled as a rising junior or senior at an accredited college or university.
- Pursuing a degree in Computer Science, Software Engineering, Electronics, Data Science, or a closely related field.
- Pursuing a Masters degree in Computer Science, Software Engineering, Electronics, Data Science, or a closely related field
- Weekly Hybrid Schedule: 3 days in office and 2 days remote
