Senior ML Engineer — Scalable AI & Production

Snap Inc.; New York (NY); On-site; USD 164,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional & mental health support

RSU equity

Job summary

Snap Inc is seeking a Machine Learning Engineer to build and deploy models powering core products used by millions of Snapchatters. You will apply modern ML techniques to real-world problems, own the full lifecycle from data analysis to deployment, and partner with cross-functional teams to launch ML-driven features.

The role emphasizes scalable services, code quality, security, and staying current with evolving AI systems and tools.

Qualifications

• 3+ years of post-bachelor ML experience or 2+ years with a Master/PhD.
• Experience developing ML models for ranking, recommendations, search or content understanding.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn or Spark ML.

Responsibilities

• Build and deploy machine learning models powering core products for millions of users.
• 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

ML algorithms

Self-motivation

Stakeholder collaboration

Problem solving

Mentorship

AI tooling

Security & performance review

Education

Bachelors in CS or related field

Advanced degree (MS/PhD)

Tools

TensorFlow

PyTorch

scikit-learn

Spark ML

Caffe2

Job description

Snap Inc is seeking a Machine Learning Engineer to build and deploy models powering core products used by millions of Snapchatters. You will apply modern ML techniques to real-world problems, own the full lifecycle from data analysis to deployment, and partner with cross-functional teams to launch ML-driven features.

The role emphasizes scalable services, code quality, security, and staying current with evolving AI systems and tools.