Machine Learning Research Scientist
16 hours ago
**Job Overview**
Tbwa Chiat/Day Inc is a leading marketing agency that is reimagining the way we approach drug discovery. As an **Research Scientist in Machine Learning**, you will play a critical role in building cutting-edge machine learning models and algorithms that will power our platform to transform the drug discovery world.
We are looking for a highly skilled and motivated individual who has a strong background in machine learning and a proven track record of designing and developing novel ML architectures, techniques, and algorithms. The ideal candidate will have experience working with large datasets, implementing and scaling training and inference engineering frameworks, and presenting research findings clearly and efficiently.
**Key Responsibilities**
- Create and lead greenfield machine learning based research projects, building the models, and algorithms that will power our platform to transform the drug discovery world as we know it.
- Contribute to our research directions in machine learning by using your extensive knowledge of the field to apply world-leading ML algorithms to drug discovery.
- Identify and create novel ML techniques and the required data to train.
- Develop the architectures and training algorithms of machine learning models.
- Implement and scale training and inference engineering frameworks.
- Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines.
**Requirements**
- PhD or equivalent practical experience in a technical field.
- A proven track record in machine learning using deep learning techniques, including designing new architectures, hands-on experimentation, analysis, and visualisation.
- Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.
- A passion for applying ML research to real-world problems.
**What We Offer**
- An estimated salary of $180,000 - $250,000 per year, depending on experience.
- A dynamic and collaborative work environment.
- The opportunity to work on cutting-edge projects and contribute to the development of novel ML techniques.
- A competitive benefits package.
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