below marketmost similar roles pay hereabove market
This role pays less than
72%
of similar roles. Most pay
$192,050–$241,750
— the blue band above.
At the midpoint, this role pays about
$196k
versus about
$217k
for comparable roles.
Based on 240 similar postings.
Employer
About Snap Inc.
Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.
Snap Inc. currently has
103 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 93 roles with salary data.
The Software Engineer, ML infrastructure, Core Inference, Level 4 joins the Core Inference team within the core ML Platform organization. This role involves building and owning the end-to-end inference stack for recommendation models, embedding-generation models, and self-hosted large language models. You will optimize, export, and prepare models for production use while supporting ranking needs for products like Discover, Stories, and Spotlight. Key responsibilities include developing infrastructure for LLM fine-tuning, reinforcement learning, and inference optimization across various product areas. The role requires proficiency in Python and Java, along with experience in distributed systems and big data processing frameworks such as Spark, Flink, or Ray. Candidates should also possess familiarity with ML frameworks including TensorFlow, PyTorch, Caffe2, Spark ML, and scikit-learn to solve large-scale production machine learning challenges.
What does a Software Engineer earn in Washington?
Median $202800 from 409 postings across 38 companies.
Own the infrastructure used to host and serve recommendation models, embedding-generation models, and self-hosted LLMs.
Optimize, export, and prepare machine learning models for efficient production use across training and inference.
Develop and maintain infrastructure for LLM fine-tuning, reinforcement learning, and inference optimization.
Provide model-hosting and serving capabilities to internal teams across Ads, Content, Growth, Lenses, and Security.
Manage the inference components that power advertising models for the Ads organization.
Provide ranking and ML infrastructure for products including Camera, Creative Tools, Maps, Chat, and Games.
Support models powering personalized experiences across Discover, Stories, and Spotlight.
What we're looking for
Bachelor’s degree in a technical field such as computer science or equivalent experience.
2+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field.
Experience building large scale production machine learning systems, distributed systems, or big data processing.
Strong programming skills in Python and Java.
Good understanding of distributed systems and the infrastructure components of large-scale ML.
Experience with big data processing frameworks such as Spark, Flink, or Ray.
Proven track record of operating highly-available systems at significant scale.
Experience working with ML Training platforms or optimizing AI model inference (preferred).
Familiarity with ML frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, scikit-learn, or related frameworks (preferred).
Python
Java
Distributed Systems
Spark
Flink
Ray
TensorFlow
PyTorch
Caffe2
Spark ML
scikit-learn
LLM
Reinforcement Learning
ML Infrastructure
Inference Optimization
Python
Java
Scala
C++
Spark
Flink
Ray
TensorFlow
PyTorch
Caffe2
Spark ML
scikit-learn
Distributed Systems
ML Infrastructure
Vector Search
Big Data Processing
Machine Learning
TensorFlow
PyTorch
Spark ML
scikit-learn
Caffe2
System Design
Ranking
Recommendations
Search
Content Understanding
Image Generation
AI Tools
Data Analysis
Production Deployment
Machine Learning
Large Language Models
TensorFlow
PyTorch
Spark ML
scikit-learn
Caffe2
Distributed Systems
Information Retrieval
Ranking Systems
System Design
Indexing