Senior Machine Learning Engineer – Scalable ML Solutions

Snap; New York (NY); On-site; USD 118,000 - 176,000; Full time

Benefits offered by this job

Equity in RSUs

Benefits package

Job summary

Snap Inc. seeks a Machine Learning Engineer in New York City to build and deploy ML models for its core Snapchat products, collaborating with cross-functional teams to launch ML-driven features.

The role emphasizes scalable service design, data analysis, and rigorous code quality, with opportunities for RSU equity and a strong benefits package. Office presence is preferred under Snap’s policy.

Qualifications

• Bachelor's Degree in computer science or equivalent years of practical work experience.
• 1+ years of post-Bachelor’s ML experience; or Master’s in a relevant field.
• Experience developing ML models for ranking, recommendations, search, content understanding, or similar applications.

Responsibilities

• Build and deploy machine learning models for core Snapchat products.
• Apply ML techniques to real-world problems.
• Contribute to ML lifecycle: data analysis, model training, evaluation, deployment.
• Collaborate with cross-functional partners to launch ML-driven features.
• Design and ship scalable services with code quality, security, and reliability.

Skills

ML concepts

Team collaboration

Problem solving

Self-directed

Adaptability

Education

Bachelor's Degree in CS or related

Master's Degree (preferred)

Tools

TensorFlow

PyTorch

scikit-learn

Spark ML

Caffe2

Job description

Snap Inc. seeks a Machine Learning Engineer in New York City to build and deploy ML models for its core Snapchat products, collaborating with cross-functional teams to launch ML-driven features.

The role emphasizes scalable service design, data analysis, and rigorous code quality, with opportunities for RSU equity and a strong benefits package. Office presence is preferred under Snap’s policy.