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Senior Machine Learning EngineerRemote

LocationBeaverton, OR 97006 - United States
Work TypeContract/Temp
Positions2 Positions
Salary RangeUS$66 - 71 per hour
  • Data Management
  • Product Design
  • Machine Learning
Category: Insights & Analytics
  • Innovative Technology; High Quality Products, Self-Empowerment
  • Globally Responsible; Sustainable Products, Diversity of Thought
  • Celebration of Sports; If You Have a Body, You are an Athlete

Title: Senior Machine Learning Engineer

Location: Beaverton, OR

Duration: 6 month contract

Job Description

Build and maintain scalable and sustainable ML models. Work across ML model lifecycle and MLOps. Partner closely with data scientists to productionize the models.

Job Duties

  • Develops and programs integrated software algorithms to structure
  • Analyze and leverage data in product and systems applications in both structured and unstructured environments.
  • Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms.
  • In product/systems improvement projects: uses machine language and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.
  • In both theoretical development environments and specific product design, implementation and improvement environments, uses current programming language and technologies to translate algorithms and technical specifications into code.
  • Completes programming and implements efficiencies, performs testing and debugging.
  • Completes documentation and procedures for installation and maintenance.
  • Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations.
  • Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.
  • Can work with large scale computing frameworks, data analysis systems and modeling environments.