Senior ML Engineer, AI Platform & Scale

Petco Animal Supplies, Inc.; San Diego (CA); On-site; USD 137,000 - 227,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Total rewards overview

Job summary

The Senior Machine Learning Engineer at Petco Animal Supplies, Inc. in California will design, develop, and deploy sophisticated ML models within our Data Science organization, collaborating with data scientists, engineers, and domain experts to solve complex business problems.

The role emphasizes end-to-end ML pipelines, MLOps best practices, governance, documentation, and mentorship of junior engineers while staying current with AI research and cloud-based platforms.

Qualifications

• Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field.
• 5+ years of experience developing and deploying ML models in complex, real-world applications.
• Strong understanding of ML algorithms, deep learning, and statistical modeling.
• Advanced programming skills (Python, Java, or R).
• Experience with ML frameworks (TensorFlow, PyTorch) and related libraries.
• Demonstrated leadership and mentorship capabilities.
• Excellent problem-solving, analytical, and communication skills.
• Proven ability to lead and deliver ML projects from conception to deployment.

Responsibilities

• Oversee end-to-end design, development, and optimization of complex ML models and algorithms.
• Stay at the forefront of ML research and emerging technologies.
• Collaborate with data scientists, software engineers, and domain experts to integrate ML solutions.
• Provide mentorship and training to junior ML engineers.

Skills

Leadership

Communication

Problem solving

Project delivery

Mentorship

Education

Master's or PhD in CS/DS/ML

Tools

TensorFlow

PyTorch

Python

Java

R

Docker

Kubernetes

AWS

Azure

GCP

Job description

The Senior Machine Learning Engineer at Petco Animal Supplies, Inc. in California will design, develop, and deploy sophisticated ML models within our Data Science organization, collaborating with data scientists, engineers, and domain experts to solve complex business problems.

The role emphasizes end-to-end ML pipelines, MLOps best practices, governance, documentation, and mentorship of junior engineers while staying current with AI research and cloud-based platforms.