Machine Learning Engineer II Job at Chewy, Boston, MA

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  • Chewy
  • Boston, MA

Job Description

Our Opportunity:

We are looking for a Machine Learning Engineer II at our Boston, MA location to apply artificial intelligence and/or machine learning methods to design, test and scale effective, reliable frameworks, systems, and models to improve the usefulness of big data and predictive applications.

What You’ll Do:  


  • Research, implement, and test machine learning algorithms and tools to solve data challenges and to improve quality and reliability of data.

  • Develop machine learning applications according to requirements; design, code, test, deploy and iterate on machine learning systems.

  • Research and remain current on machine learning and optimization techniques.

  • Effectively resolve problems and roadblocks as they occur.

  • Work with data scientists, application developers, product managers and software engineers to develop and support software for new machine learning products.

  • Telecommuting permitted up to 3 days per week.

What You’ll Need:


  • Master's degree in Industrial Engineering, Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, Data Science, or a related field and 2 years of experience.

  • Will also accept a PhD and 0 years of experience.

  • Experience or coursework must involve: developing and deploying optimization, predictive and machine learning model;

  • Designing optimization and machine learning solutions for large-scale applications;

  • Applying advanced mathematics and DS methodologies;

  • Machine learning frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python);

  • Building distributed pipelines, tuning, optimizing, and evaluating;

  • MLOps best practices and demonstrated use of Software Engineering best practices and cloud service/platform (Databricks, AWS);

  • Techniques including Predictive Models (Time Series and Regression);

  • Translating complex data sets and research into simple business recommendations.

  • Telecommuting permitted up to 3 days per week.

  • The position is eligible for the Employee Referral Program.

Job Tags

Full time, Remote work, 3 days per week,

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