Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
S

Machine Learning Engineer, Level 4, Ads Platform

SNAP/SNAP

. Design, develop, and productionize machine learning models that power core Ads Platform systems, including ad ranking, prediction, and delivery, at Snapchat scale .

Posted 5/8/2026full-timePalo Alto • California, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $173,000 - $259,000 per yearWebsite

Tech Stack

Tools & technologies
PyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact
  • Design, develop, and productionize machine learning models that power core Ads Platform systems, including ad ranking, prediction, and delivery, at Snapchat scale
  • Apply cutting-edge ML techniques to improve marketplace efficiency, ad relevance, and advertiser outcomes across large-scale, real-world ads challenges
  • Lead the end-to-end ML lifecycle, from problem framing and data analysis to model development, online experimentation, production deployment, monitoring, and continuous optimization
  • Collaborate closely with cross-functional partners across engineering, product, and data to prototype, launch, and scale ML-powered features that drive measurable impact for advertisers and Snapchatters

Requirements

What you’ll need
  • Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
  • 3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
  • Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
  • Advanced degree in computer science or related field (preferred)
  • Experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
  • Experience working with machine learning, ranking infrastructures, and system design

Benefits

Comp & perks
  • paid parental leave
  • comprehensive medical coverage
  • emotional and mental health support programs
  • compensation packages that let you share in Snap’s long-term success

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningmodel developmentdata analysisonline experimentationproduction deploymentcontinuous optimizationad rankingpredictionrecommendationsimage generation
Soft Skills
collaborationleadershipproblem framingcommunication
Certifications
Bachelor's DegreeMaster's DegreePhD