Machine Learning Engineer

October 22, 2023

webAI™

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A New Frontier for Human-AI Collaboration

AI • web5 • Framework

51 - 200

Description

• Research, design, implement, and fine-tune machine learning models, including deep learning architectures, to be included in or to advance our platform. • Compile/pre-process datasets for training purposes • Extract meaningful features from data through feature engineering to improve model performance • Extend and develop the organizations existing ML libraries and proprietary frameworks • Collaborate with R&D and systems software engineering teams • Promote and adhere to MLOps best practices within the organization • Ensure production intent code is properly documented and tested • Stay up to date on latest AI trends and research papers

Requirements

• Proven experience as a Machine Learning Engineer or similar role • Batchelor’s (Master’s prefered) in Computer Science, Machine Learning, Data Science, or a related field • Understanding of data structures, data modeling and software architecture • Deep knowledge of math, probability, statistics and algorithms • Ability to write robust code in Python (Rust, C/C++, Cuda, or MPS experience a plus) • Expertise in data preprocessing, feature engineering, and model evaluation technique • Experience working with Tensorflow and/or PyTorch along with scikit-learn, numpy, pandas, and opencv • Experience with cloud computing platforms and model deployment techniques using Docker containerization • Experience with MLOps tools like, MLFlow, KubeFlow, Airflow or similar • Passionate about learning • Strong verbal and written communication skills

Benefits

• Competitive salary • Health, dental, and vision insurance • Paid time off • 401(k) retirement plan with matching • Professional development opportunities