Software Engineer, ML Infrastructure, Content Retrieval Platform, Level IV

Snap Inc.

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Palo Alto, CA
Salary: $157,000–$235,000 / yr
Posted: 11 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k

This role $196k

$142k most similar roles pay here $301k

This role pays less than 76% of similar roles. Most pay $197,925–$254,750 — the shaded band above. At the midpoint, this role pays about $196k versus about $226k 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 76 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 58 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Software Engineer, ML Infrastructure, Content Retrieval Platform, Level IV

Role Posting Log in to save

Software Engineer, ML Infrastructure, Content Retrieval Platform, Level 4 joins the Content ML organization to develop and operate large-scale retrieval systems for content recommendation. This role involves designing and optimizing infrastructure for machine learning workloads, building feature generation and serving pipelines for online inferencing and offline training, and developing high-performance inference systems. The engineer will also build data management systems for scalable collection, labeling, and processing while collaborating with ML engineers to deploy models into production. Key technical requirements include proficiency in Python and Java, with experience in C++, distributed systems, and big data frameworks like Spark, Flink, or Ray. Candidates should be familiar with machine learning frameworks such as TensorFlow, PyTorch, Caffe2, Spark ML, or scikit-learn to solve complex problems regarding inference feature sourcing and generative retrieval within the content retrieval domain.

What does a Software Engineer earn in California?

Median $214000 from 775 postings across 63 companies.

See salary data

Skills

Python Java Go C++ Distributed Systems Spark Flink Ray TensorFlow PyTorch Caffe2 scikit-learn Spark ML Big Data Processing

What you'll do

Design and optimize infrastructure systems for machine learning workloads at scale.
Build and enhance feature generation and serving pipelines for online inference and offline training.
Develop high-performance inference systems to ensure fast and efficient AI model serving.
Build cloud infrastructure for scalable ML model training, evaluation, and inference.
Create data management systems for large-scale collection, labeling, processing, and evaluation.
Deploy cutting-edge models into production in collaboration with ML engineers.
Develop high-performance components using Java, Go, or C++ to ensure system reliability.

What we're looking for

Bachelor’s degree in a technical field or equivalent experience.
2+ years of post-Bachelor’s software development experience, or a Master’s/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.
Experience with big data processing frameworks such as Spark, Flink, or Ray.
Proven track record of operating highly-available systems at significant scale.
Familiarity with ML frameworks like TensorFlow, PyTorch, Caffe2, Spark ML, or scikit-learn.
Experience working with ML training platforms or optimizing AI model inference.

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