Senior ML Engineer — Full Lifecycle & Scalable AI

SNAP, Inc.; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Parental leave

Medical coverage

401(k) plan

Gym perks

Well-being programs

Job summary

Snap Inc. seeks a machine learning engineer to build and deploy scalable ML models that power core Snapchat features. You will own the full lifecycle from data analysis to production deployment and partner with cross-functional teams to bring ML-driven features to life.

The role requires strong foundations in ML techniques, experience with TensorFlow or PyTorch, and a track record of shipping reliable and secure systems.

Qualifications

• BS/BE in CS or engineering with strong ML foundation.
• Experience building ML models for ranking, recommendations, search.
• Familiarity with modern AI tooling and production systems.
• PhD/MS preferred for advanced research roles.

Responsibilities

• Build and deploy ML models powering Snapchat products.
• Own full ML lifecycle from data analysis to production deployment.
• Prototype and launch ML-driven features with cross-functional teams.
• Ensure code correctness, security, and production-ready quality.

Skills

Machine learning

Ranking systems

Recommendations

Search algorithms

Image generation

ML frameworks

Education

Bachelor's degree in CS/Engineering

Advanced degree (MS/PhD)

Tools

TensorFlow

PyTorch

Caffe2

Spark ML

scikit-learn

Job description

Snap Inc. seeks a machine learning engineer to build and deploy scalable ML models that power core Snapchat features. You will own the full lifecycle from data analysis to production deployment and partner with cross-functional teams to bring ML-driven features to life.

The role requires strong foundations in ML techniques, experience with TensorFlow or PyTorch, and a track record of shipping reliable and secure systems.