NLP Research Engineer for Large-Scale AI Systems
4 days ago
We are seeking an innovative and passionate NLP Research Engineer to join our team at Ema Unlimited, a high-growth startup based in Silicon Valley and Bangalore.
Ema is building the next generation of AI technology to empower employees in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate repetitive tasks to Ema, the Universal AI employee.
This will be a hybrid role where you will work from office three days a week, collaborating with your colleagues on cutting-edge projects. You will have the opportunity to utilize machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing (NLP).
Responsibilities:- Conceptualize, develop, and deploy large language models that underpin our retrieval, reasoning, and code-generation systems.
- Implement advanced large-language model techniques, such as transformer fusion-based architectures, retrieval-based autoencoders, deep prompt learning, and deep ensemble learning.
- Lead the processing and analysis of large, complex datasets, and use your findings to inform the implementation of our models.
- Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Implement A/B testing and other statistical methods to validate the effectiveness of models.
As an ideal candidate, you would have:
- A Ph.D. in Computer Science, Machine Learning, or equivalent industry experience.
- Proven industry experience in building and deploying production-level machine learning models.
- Deep understanding and practical experience with Large language model architectures, their advantages, and limitations.
- Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
- Excellent skills in data processing and experience working with large-scale data systems.
The estimated salary for this position is $150,000 - $200,000 per year, depending on experience and qualifications.
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