Software Engineer, ML Infrastructure, Content Signal & Training Data, Level 4
Share
Job Location:
Santa Monica, CA - USA
Yearly Salary:
$ 133000 - 200000
Posted on:
01-11-2025
Vacancies:
1 Vacancy
Job Summary
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together. The Companys three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.
Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world every day. Were deeply committed to the well-being of everyone in our global community which is why our values are at the root of everything we do. We move fast with precision and always execute with privacy at the forefront.
Youll play a critical role in scaling our Content Signal & Training Data infrastructure developing new signals for content ranking and retrieval optimizing training data pipelines and driving innovations that make Snapchats ranking and recommendation systems more reliable efficient and impactful.
Were looking for a Software Engineer Content Signal & Training Data Infrastructure to join Snap Inc!
What youll do:
Design and optimize systems for large-scale signal generation indexing serving and applications
Build and maintain content feature lifecycle management including generation storage sourcing monitoring and deprecation of unused features
Simplify the content feature development process by collaborating with ML data platform teams and improving tooling for generation storage and sourcing
Optimize and monitor signal pipelines for reliability latency and scalability
Build and maintain training data for new applications and ranking models including experiments on long-term objectives such as user retention and creator affinity
Collaborate with ML engineers to improve training workflows (feature engineering preprocessing model iterations evaluation and inference)
Build training data monitoring and analysis tools with platform teams including SQL-based analysis feature importance discrepancy detection and anomaly detection
Knowledge Skills & Abilities:
Strong programming skills in Python Java Scala or C
Strong problem-solving skills with a focus on system performance data quality and scalability
Good understanding of distributed systems data pipelines and ML infrastructure
Familiarity with feature engineering signal pipelines and model training workflows
Proven track record of operating highly available and reliable infrastructure at scale
Ability to proactively learn new concepts and apply them in a fast-paced environment
Strong collaboration skills with ML engineers data scientists and infra teams
Minimum Qualifications:
Bachelors degree in a technical field such as computer science or equivalent experience
2 years of post-Bachelors software development experience; or Masters degree in a technical field 1 years of post-grad software development experience; or PhD in a relevant technical field
Experience building large-scale data or ML production systems distributed systems or big data processing
Preferred Qualifications:
Masters/PhD in a technical field such as computer science or equivalent industry experience
Experience with feature or training data pipelines
Experience with big data processing frameworks such as Spark Flink Dataflow or Ray
Experience with search or recommendation systems
If you have a disability or special need that requires accommodation please dont be shy and provide us some information.
Default Together Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster reinforce our values and serve our community customers and partners better through dynamic collaboration. To reflect this we practice a default together approach and expect our team members to work in an office 4 days per week.
At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).
Compensation
In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidates starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
The base salary range for this position is $157000-$235000 annually.This position is eligible for equity in the form of RSUs.
Key Skills
- Jenkins
- Ruby
- Python
- Active Directory
- Cloud
- PowerShell
- Windows
- AWS
- Linux
- SAN
- Java
- Troubleshoot
- Backup
- Puppet
- hardware
About Company
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
