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Machine Learning/Data Science Engineer

Machine Learning/Data Science Engineer

  • Location

    Los Angeles , United States

  • Sector:

    AI & Machine Learning

  • Job type:

    Permanent

  • Salary:

    Flexible

  • Contact:

    Matt Hezlep

  • Job ref:

    39747

  • Published:

    8 months ago

  • Expiry date:

    2019-03-25

Location: Los Angeles
Industry: Fintech
Projects: Speech-to-Text, Aerial Imaging, Image Processing, NLP

What You'll Do

    • Conduct original research on both proprietary and open source data sets
    • Rapidly prototype and implement predictive models
    • Write production-ready Python code, including tests to ensure robustness and reliability
    • Collaborate with a wide array of groups across engineering, product, and business to ensure maximal impact of solutions

What We Look For

    • Machine learning experience at a top technology company
    • Advanced degree in Computer Science, Physics, Mathematics, or a related discipline
    • At least one core programming expertise, such as Python, MATLAB, or R
    • Experience with advanced machine learning methods and technologies such as Tensorflow/PyTorch, XGBoost/LightGBM, numpy/scipy/pandas/scikit-learn
    • Statistically rigorous approaches to model evaluation and experiments
    • Strong communication, presentation, and interpersonal skills
    • Effective coding and documentation habits, including GitHub and experience in one or more IDEs/editors
    • Several of the following terms should hold deep meaning for you: lookahead bias, attention, bagging, boosting, MAP, stacking, residuals, normalization, CNN, LSTM, KL-divergence, data augmentation, sparsity, bootstrapping, HMM, TD(Lambda), information retrieval, vanishing gradients

How to Really Get Our Attention

    • PhD from a top university
    • Proven record for publishing original research
    • Your github/kaggle account showing practical, entrepreneurial initiative