Core ML Inference & Infrastructure Engineer

Snapchat, Inc.; Palo Alto (CA); On-site; USD 133,000 - 235,000; Full time

Benefits offered by this job

Equity in RSUs

Comprehensive medical coverage

Paid parental leave

Job summary

Snap Inc. is seeking a Software Engineer for the Core Inference team within the Core ML Platform. You will build and own the ML inference stack powering personalized experiences across Snap products, including ranking, model hosting, and serving at scale.

You’ll optimize models for production, work on LLM fine-tuning, RL infrastructure, and collaborate across Ads, Content, Growth, and other teams to deliver reliable, efficient AI-powered features.

Qualifications

• Bachelor’s degree in a technical field or equivalent experience.
• “2+ years of post-Bachelor’s software development experience” or higher for advanced degrees.
• Experience building large-scale production ML systems or distributed systems.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or equivalent.

Responsibilities

• Support models powering personalized experiences across Snap apps with ranking needs.
• Optimize, export, and prepare models for production use.
• Own the infrastructure used to host and serve models including LLMs.
• Work on LLM fine-tuning, reinforcement learning infrastructure, serving, and inference optimization.
• Provide hosting and serving capabilities to multiple teams across products.

Skills

Python

Java

Distributed systems

Big data frameworks

ML frameworks

Collaboration

Operational excellence

Education

Bachelor’s degree in computer science or equivalent

Tools

Spark

Flink

Ray

TensorFlow

PyTorch

Caffe2

Job description

Snap Inc. is seeking a Software Engineer for the Core Inference team within the Core ML Platform. You will build and own the ML inference stack powering personalized experiences across Snap products, including ranking, model hosting, and serving at scale.

You’ll optimize models for production, work on LLM fine-tuning, RL infrastructure, and collaborate across Ads, Content, Growth, and other teams to deliver reliable, efficient AI-powered features.