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Staff Machine Learning Engineer

2 months ago


Boston, United States Chewy Full time
JOB DESCRIPTION

Our Opportunity:

We are looking for a Staff Machine Learning Engineer at our facility in Boston, Massachusetts to lead development and deployment of critical machine learning and deep learning models, which includes guiding data scientists, platform engineers in the delivery of the models.

What You’ll Do:  

Solve impactful, large-scale ML problems and take the solutions from planning to production. Ideate and implement advanced ML solutions like domain-specific embeddings, custom featurization, and customized algorithms. Build a great company-wide ML platform that enables other data scientists and ML engineers to train, validate, deploy, and monitor ML. Mentor teammates in advanced ML and ML engineering practices. Engage with engineering leadership across Chewy to define development and production processes for ML creation and deployment. Recommend architectural patterns; e.g., consult on the architectural design of ML pipelines for collecting data for ML training and inference. Collaborate with a distributed team, including pairing, code reviews, identifying opportunities for code refactoring, and defining best practices. Telecommuting permitted.

What You’ll Need:

Master’s degree in Electrical Engineering, Data Science, Machine Learning, Economics, Statistics, Mathematics, or related field; 8 years of experience working in data science or applied machine learning; Experience must include: Coding and data analysis using Python, SQL, R, SAS, or Scala; AWS and big data technologies; Frameworks such as Pytorch, Tenserflow, or Keras; Design and execution of analytical projects; Machine learning techniques: Regression, classification, clustering, neural networks/deep learning, and natural language processing (NLP); and Translating ambiguous customer requirements into clear problem definitions and delivering them. Telecommuting permitted. The position is eligible for the Employee Referral Program.