Software Engineer, ML Infrastructure, Level V

Snap Inc.

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Quick summary

Work type: On-site
Location: Los Angeles, CAPalo Alto, CASeattle, WA
Salary: $209,000–$313,000 / yr
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $220k

This role $261k

$163k most similar roles pay here $329k

This role pays more than 92% of similar roles. Most pay $184,815–$254,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $220k 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 84 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 64 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Software Engineer, ML Infrastructure, Level V

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As a Software Engineer, ML Infrastructure, Level 5, you will join the ML Platform team to build foundational data platforms that support offline model training and online feature serving. You will design and optimize infrastructure systems for machine learning workloads at scale, focusing on high-performance inference systems, scalable training in the cloud, and comprehensive data management for collection, labeling, and processing. Additionally, you will work on state-of-the-art vector search algorithms to improve retrieval system precision and recall while collaborating with ML engineers to deploy models into production. The role requires proficiency in Python, Java, Scala, or C++, along with experience in distributed systems and big data frameworks like Spark, Flink, or Ray. You will utilize tools such as TensorFlow, PyTorch, Caffe2, Spark ML, and scikit-learn to solve complex infrastructure challenges for ranking and recommendation systems.

What does a Software Engineer earn in California?

Median $214000 from 761 postings across 67 companies.

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Skills

Python Java Scala C++ Spark Flink Ray TensorFlow PyTorch Caffe2 scikit-learn Distributed Systems Big Data Machine Learning Vector Search Inference Systems

What you'll do

Design and optimize infrastructure systems for machine learning workloads at scale.
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.
Implement state-of-the-art vector search algorithms to improve retrieval system precision and scalability.
Optimize storage and processing costs to sustain machine learning growth.
Deploy cutting-edge models into production in collaboration with ML engineers.

What we're looking for

Bachelor’s degree in a technical field or equivalent experience.
6+ years of post-Bachelor’s software development experience, or Master’s plus 5+ years, or PhD plus 2+ years.
Experience building large-scale production machine learning systems, distributed systems, or big data processing.
Strong programming skills in Python, Java, Scala, or C++.
Proficiency 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).

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