webAI is hiring a
Machine Learning Engineer

closed
Logo of webAI

webAI

πŸ’΅ ~$62k-$124k
πŸ“Remote - United States

Summary

Join webAI, Inc., a software company building a decentralized AI development platform, as a Machine Learning Engineer. Work on developing and deploying ML models to bolster the platform with 3+ years of experience. Enjoy a dynamic and growth-oriented office culture, flexible work week, free parking (for in-office employees), unlimited approved PTO, parental leave policy, and supplemental life insurance.

Requirements

  • Proven experience as a Machine Learning Engineer or similar role
  • Bachelor’s (Master’s preferred) 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

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

Preferred Qualifications

  • Passionate about learning
  • Strong verbal and written communication skills

Benefits

  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • $200/mos Health and Wellness Stipend
  • $400/year Continuing Education Credit
  • Flexible work week
  • Free parking, for in-office employees
  • Unlimited Approved PTO
  • Parental, Bereavement Leave Policy
  • Supplemental Life Insurance
This job is filled or no longer available

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