Senior Machine Learning Engineer – Scale & Deploy ML

SNAP, Inc.; Palo Alto (CA); On-site; USD 173,000 - 259,000; Full time

Job summary

Snap Inc. in California is seeking a Machine Learning Engineer to join our team. Build and deploy ML models powering apps used by millions of Snapchatters, focusing on ranking, recommendations, and content understanding.

You will own the full ML lifecycle from data analysis to production deployment, collaborating with cross-functional teams to prototype and ship scalable features while upholding code quality and security.

Qualifications

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

Responsibilities

• Build and deploy ML models powering core products serving millions.
• Apply modern ML techniques to large-scale problems and real-world data.
• Own the full ML lifecycle from data analysis to production deployment.
• Partner with cross-functional teams to prototype and launch ML-driven features.
• Ensure code correctness, security, and production readiness.

Skills

ML algorithms

Self-management

Cross-functional collaboration

Ambiguity tackling

Mentorship

AI tooling

Adaptability

Education

Bachelor's degree

MS/PhD preferred

Tools

TensorFlow

PyTorch

Spark ML

scikit-learn

Caffe2

Job description

Snap Inc. in California is seeking a Machine Learning Engineer to join our team. Build and deploy ML models powering apps used by millions of Snapchatters, focusing on ranking, recommendations, and content understanding.

You will own the full ML lifecycle from data analysis to production deployment, collaborating with cross-functional teams to prototype and ship scalable features while upholding code quality and security.