ML Engineer — Build, Deploy & Scale AI Features

Jobtailor; California (MO); On-site; USD 120,000 - 180,000; Full time

Job summary

Snapchat is seeking a talented machine learning engineer to build and deploy ML models for core products. You will apply established techniques to solve real-world problems and participate in data analysis, model training, evaluation, and production deployment.

You will collaborate with cross-functional partners to implement ML-driven features and design scalable services. Our team emphasizes code correctness, security, and production-ready quality in a fast-paced environment.

Qualifications

• Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience

Responsibilities

• Build and deploy machine learning models for core Snapchat products
• Apply established machine learning techniques to solve well-defined, real-world problems
• Contribute to the machine learning lifecycle, including data analysis, model training, evaluation, and production deployment
• Collaborate with cross-functional partners and teammates to implement and launch ML-driven features
• Use AI tools and high-velocity engineering workflows to design and ship scalable services
• Uphold rigorous standards for code correctness, security, and production-ready quality

Skills

Machine Learning

Data Analysis

Collaboration

Problem Solving

Independence

Mentorship

Adaptability

Education

Bachelor's Degree in Computer Science

Master's Degree in Relevant Field

Tools

TensorFlow

PyTorch

Scikit-learn

Caffe2

Spark ML

Job description

Snapchat is seeking a talented machine learning engineer to build and deploy ML models for core products. You will apply established techniques to solve real-world problems and participate in data analysis, model training, evaluation, and production deployment.

You will collaborate with cross-functional partners to implement ML-driven features and design scalable services. Our team emphasizes code correctness, security, and production-ready quality in a fast-paced environment.