Machine Learning Innovator
3 weeks ago
Imagine working on a team that is changing the world through digital experiences.
We are looking for an exceptional Machine Learning Engineer to join our Document Cloud team.
As a Machine Learning Engineer, you will be working on creating innovative solutions using Machine Learning, Deep Learning, and Generative AI.
Your key responsibilities will include:
- Developing algorithms that apply deep learning and state-of-the-art methods in NLP and computer vision.
- Creating experiments, algorithms, and shipping solutions that not only yield high accuracy but are also designed and engineered to scale.
- Collaborating across multiple research and engineering disciplines, making the trade-offs required to rapidly deliver AI/ML software solutions.
To be successful in this role, you will need:
- B. Tech/MCA in Computer Science or related fields, MS/PhD preferred.
- 5-8 years hands-on experience in either 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, Modelling, 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.
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world.
We offer ongoing feedback and support to help you grow in your career.
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