Machine Learning Engineer II

About the role

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. You will be a key contributor throughout the machine learning lifecycle, from data preparation and model development to deployment and monitoring, working on diverse projects that directly impact the company’s success.

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.
• Collaborate 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.

Qualifications

• 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 Have

• 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.

Pay

The base salary range for this role is $119,500 – $190,000.00. The specific salary offered may be influenced by factors such as relevant experience, education, and work location. This position is also eligible for a 401(k) plan, a new‑hire and annual equity grant, and, for C08+ positions, an annual bonus.

Benefits

• 401(k) retirement plan with company contributions.
• New‑hire and annual equity grants.
• Annual bonus eligibility for C08+ positions.
• Medical, prescription, vision, dental, life, disability, hospital indemnity, critical illness, and accident insurance.
• Parental leave and family services benefits.
• Backup dependent care.
• Flexible spending accounts.
• Telemedicine services.
• Pet adoption reimbursement.
• Employee assistance program.
• Discounts including 10% off pet insurance and 20% off purchases at Chewy.com.
• Unlimited paid time off (subject to manager approval) for exempt salary team members.
• Six paid holidays per year.
• Paid sick and family leave in compliance with applicable state and local regulations.