Senior Machine Learning Engineer — Real-World AI at Scale

Snapchat, Inc.

Palo Alto (CA)

On-site

USD 173,000 - 259,000

Full time

5 days ago
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Benefits offered by this job

RSU equity
Equal opportunity employer
Comprehensive benefits

Job summary

Snap Inc. is seeking a Machine Learning Engineer to join Snap's engineering teams. Build and deploy ML models powering core products for hundreds of millions of Snapchatters; apply modern ML techniques to solve large-scale, real-world problems.

You will own the full ML lifecycle from data analysis to production deployment, partner with cross-functional teams, and ensure code quality, security, and scalability while staying at the forefront of AI tools.

Qualifications

  • Bachelor's degree in computer science or related field.
  • 3+ years of post-Bachelor’s ML experience or advanced degree with relevant work.
  • Experience developing ML models for ranking, recommendations, search, or image understanding.
  • Preferred advanced degree in a related field.

Responsibilities

  • Build and deploy ML models powering core products for hundreds of millions of Snapchatters.
  • Apply modern ML techniques to solve large-scale real-world problems.
  • Own the full ML lifecycle from data analysis to production deployment.
  • Partner with cross-functional teams to prototype and launch ML-driven features.

Skills

Machine learning expertise
Model deployment
Cross-functional collaboration
Problem solving

Education

Bachelor's degree in computer science or related field
Master's degree or PhD in a technical field

Tools

TensorFlow
PyTorch
Spark ML
scikit-learn

Job description

Snap Inc. is seeking a Machine Learning Engineer to join Snap's engineering teams. Build and deploy ML models powering core products for hundreds of millions of Snapchatters; apply modern ML techniques to solve large-scale, real-world problems.

You will own the full ML lifecycle from data analysis to production deployment, partner with cross-functional teams, and ensure code quality, security, and scalability while staying at the forefront of AI tools.

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