Machine Learning Engineer
 
We are seeking a talented and experienced Machine Learning Engineer to join our team! As a Machine Learning Engineer at webAI, you garner experience developing and deploying ML models alongside our researchers to bolster our platform. An ideal candidate will have experience with both unstructured and structured data machine learning use-cases.
 
Responsibilities:
  • 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
Qualifications:
  • 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 
  • Comprehensive health, dental, and vision benefits package.
  • Flexible work week
  • Free parking, for in-office employees
  • Unlimited PTO
  • Parental, Bereavement Leave

 

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