Machine Learning Engineer II

Chewy•Boston, MA

1d•$119,500 - $190,000

About The Position

We are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role, you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II, you will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.

Requirements

Master's degree in Computer Science, Machine Learning, or a related field.
3+ years of experience as a Machine Learning Engineer or in a similar role.
Strong programming skills in Python or another relevant language.
Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with SQL and relational databases.
Familiarity with AWS cloud technologies (e.g., Glue, Sagemaker, Athena, Redshift).
Solid understanding of machine learning algorithms and best practices.
Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
Excellent communication and presentation skills.

Nice To Haves

Familiarity with big data technologies (e.g., Spark, Iceberg, dbt).
Experience with data visualization tools (e.g., Tableau, Streamlit, Plotly).
Knowledge of retail and e-commerce.

Responsibilities

Design and implement robust data pipelines for efficient data ingestion, processing, and feature engineering.
Ensure data quality and consistency for model training and inference.
Work with large datasets and apply data scaling techniques.
Select and build appropriate machine learning models based on business requirements and data characteristics.
Train and evaluate models using various techniques and metrics.
Fine-tune models to achieve optimal performance and efficiency.
Deploy machine learning models to production environments, ensuring scalability, reliability, and maintainability.
Implement monitoring and alerting systems to track model performance and identify potential issues.
Optimize models for inference speed and resource utilization.
Work closely with data scientists, software engineers, and business stakeholders to understand requirements and deliver solutions.
Effectively communicate technical concepts and findings to both technical and non-technical audiences.

Benefits

401k
new hire and annual equity grant
annual bonus
medical/Rx insurance
vision insurance
dental insurance
life insurance
disability insurance
hospital indemnity insurance
critical illness insurance
accident insurance
parental leave
family services benefits
backup dependent care
flexible spending accounts
telemedicine
pet adoption reimbursement
employee assistance program
10% off pet insurance
20% off at Chewy.com
unlimited PTO (subject to manager approval)
six paid holidays per year
paid sick and family leave in compliance with applicable state and local regulations.