Senior ML Engineer: Deploy Scalable AI Features

SNAP, Inc.; Bellevue (WA); Sur place; USD 173 000 - 259 000; Plein temps

Avantages offerts par ce poste

paid parental leave

comprehensive medical coverage

emotional and mental health support

RSU equity

Résumé du poste

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models powering Snapchat and related services. You will own the full ML lifecycle—from data analysis to production deployment—and partner with cross-functional teams to prototype and ship ML-driven features.

You will work on scalable, secure systems while upholding high standards of code correctness and privacy. Applicants should have strong ML foundations and practical experience with major frameworks.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• 3+ years of post-bachelor ML experience (or 2+ years with Master’s/PhD).
• Experience in ML for ranking, recommendations, search, or image/content understanding.

Responsabilités

• Build and deploy ML models powering core products for millions of users.
• Apply modern ML techniques to large-scale, real-world problems.
• Own ML lifecycle from data analysis to production deployment.
• Partner with cross-functional teams to prototype and launch ML-driven features.
• Design scalable services with strong emphasis on code quality, security, and reliability.

Connaissances

ML fundamentals

Model deployment

Collaboration

AI tooling

Code quality

Security awareness

Formation

Bachelor's degree in CS or equivalent

Outils

TensorFlow

Caffe2

PyTorch

Spark ML

scikit-learn

Description du poste

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models powering Snapchat and related services. You will own the full ML lifecycle—from data analysis to production deployment—and partner with cross-functional teams to prototype and ship ML-driven features.

You will work on scalable, secure systems while upholding high standards of code correctness and privacy. Applicants should have strong ML foundations and practical experience with major frameworks.