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Senior Machine Learning Engineer

Senior Machine Learning Engineer

Beyond LimitsGlendale, CA, United States
14 hours ago
Job type
  • Full-time
Job description

Position Overview

Our Advanced Learning Systems team is seeking a senior machine learning engineer. The team is in need of someone who is a skilled of standard data and ML pipelines, ML system design and modeling, and optimization techniques. Deployment skills are NOT a must but a plus. As a machine learning engineer, you will be building state-of-the-art ML models for different industrial applications.

Job Duties / Responsibilities

  • Design, train and deliver machine learning solutions to a wide range of datasets : from small datasets to big data, time series to 3D matrices, both unlabeled and labeled
  • Collaborate with the development team and ML engineers to implement, test and validate new algorithms and integrate the algorithms with the existing frontend and backend systems
  • Develop optimization tools on top of ML models to recommend optimal operation
  • (As an individual contributor) Build state-of-the-art models for various modeling tasks (e.g., time series forecasting, spatiotemporal and traffic / logistic)
  • Break down problems and propose solution roadmap
  • Mentor junior engineers, perform code reviews and document design decisions

Minimum Qualifications

  • PhD or MS in Computer Science, Electrical Engineering or similar field
  • 5+ years of experience with one modern coding languages, e.g., C++, Python
  • 5+ years of experience with machine learning tools and deep learning algorithms and techniques, including but not limited to : PyTorch, TensorFlow, KerasCNN, LSTM, RNNScikit-learn, pandas, numpy
  • Optimization techniques and fine-tuning models, e.g., scipy.optimize, optuna,
  • Able to work independently on problems and in highly collaborative team environments
  • Team management and mentoring junior members
  • Effective communication with internal and external sources
  • Time and project management
  • Preferred Qualifications

  • Graph-based Machine Learning
  • Research experience with high impact publications
  • Application of ML in industrial projects
  • Experience with MLOps and other production level implementation frameworks and pipelines
  • Experience with messaging systems, Docker, Kubernetes, Spark, EMR, and cloud platforms (AWS or Azure)
  • This position is located in our Glendale, CA headquarters and is eligible to participate in the company's hybrid 3 / 2 work model. The hiring range for this position in Glendale, CA is listed below as a yearly salary. The base pay actually offered will take into account internal equity and also may vary depending on the candidates geographic region, job-related knowledge, skills, and experience among other factors. A bonus and / or company stock options may be provided as part of the compensation package, in addition to the full range of medical, financial, and / or other benefits, dependent on the level and position offered.Hiring Range$151,759$171,924 USD

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    Senior Machine Learning Engineer • Glendale, CA, United States

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