Principal Research Scientist
1 week ago
A machine learning research lab that is building business analysis tools for consultants, professional managers, and ‘AI agents’.
Exp - 7+
Who You Are:
We are seeking a highly motivated and innovative Principal Research Scientist to join our dynamic
team. You are passionate about solving complex problems and leveraging machine learning
techniques to develop efficient solutions that scale.
You have a strong foundation in natural language processing (NLP) and related machine learning
technologies and are able to work autonomously to find the right solutions.
Responsibilities:
Conceptualize, develop, and deploy machine learning models that power our business
analysis tools with a focus on NLP, information retrieval, ranking, reasoning, dialogue, and
code generation systems.
Implement cutting-edge machine learning algorithms, including Transformer-based
models, reinforcement learning, ensemble learning, and agent-based systems, to enhance
the performance of our AI solutions.
Lead the processing and analysis of large, complex datasets to derive actionable insights
and inform model development.
Collaborate across the complete lifecycle of ML model development, from problem
definition and data exploration to model training, validation, and deployment.
Conduct A/B testing and employ statistical methods to evaluate model effectiveness,
ensuring robustness and reliability through automated testing and validation processes.
Communicate technical concepts and benefits of ML models effectively to both technical
and non-technical stakeholders, facilitating understanding and adoption.
Requirements:
Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative
field.
Experience in building and deploying production-level machine learning models.
Deep understanding and practical experience in NLP techniques and frameworks, with
proficiency in training and inference of large language models.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.
Familiarity with cloud platforms like GCP or Azure.
Knowledge of software development principles, data structures, and algorithms.
Excellent problem-solving skills and attention to detail.
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