Machine Learning Engineer
2 weeks ago
About the Role
We are seeking an experienced Machine Learning Engineer to join our Document Cloud team at Adobe. As a key member of our team, you will be responsible for developing and implementing cutting-edge AI/ML solutions that process billions of PDFs every month.
Key Responsibilities
- Design and develop algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision.
- Create experiments and ship solutions that yield high accuracy and are designed to scale.
- Collaborate with cross-functional teams to rapidly deliver AI/ML software solutions.
Requirements
- B.Tech/MCA in Computer Science or related fields. MS/PhD preferred.
- 5-8 years of hands-on experience in deep-learning models, image processing, vision, and/or NLP.
- Ability to write efficient, clean, and reusable code in Python. Knowledge of C++ is preferred.
- Broad Machine Learning experience – data, modeling, metric, analysis of results.
- Experience in using TensorFlow or PyTorch.
- Exposure to deep learning – CNNs, LSTMs, Transformers, network architecture, network tuning, transfer learning, multi-task learning.
- Exposure in building solutions from scratch and writing maintainable code inside large existing codebases.
- Strong software development skills that encourage code reuse among engineers and researchers.
About Adobe
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique approach where ongoing feedback flows freely.
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