Senior ML Engineer (Level 4) - Production ML & Scaling

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

Benefits offered by this job

RSUs

Job summary

Snap Inc. is seeking a Machine Learning Engineer to build and deploy models powering Snapchat and related services. You will own the full ML lifecycle from data analysis to production deployment and collaborate with cross-functional teams.

Ideal candidates have 3+ years ML experience, strong ML fundamentals, and experience with TensorFlow or PyTorch. This role offers RSUs and a competitive pay range in the US.

Qualifications

• BS in CS or related field or equivalent practical experience.
• 3+ years of post-Bachelor’s ML experience; or Master’s +2 years; or PhD in a technical field.
• Experience in ML models for ranking, recommendations, search, content understanding, image generation.

Responsibilities

• Build and deploy machine learning models powering core products.
• Apply modern ML techniques to solve large-scale problems.
• Own full ML lifecycle from data analysis to production deployment.
• Partner with cross-functional teams to prototype and launch ML features.
• Design scalable services with focus on correctness, security, and quality.

Skills

ML fundamentals

Independent worker

Collaboration

Ambiguity solving

Code security

Adaptability to AI tools

Education

BS in CS or related field

MS/PhD preferred

Post-grad ML experience

Tools

TensorFlow

PyTorch

Spark ML

scikit-learn

Job description

Snap Inc. is seeking a Machine Learning Engineer to build and deploy models powering Snapchat and related services. You will own the full ML lifecycle from data analysis to production deployment and collaborate with cross-functional teams.

Ideal candidates have 3+ years ML experience, strong ML fundamentals, and experience with TensorFlow or PyTorch. This role offers RSUs and a competitive pay range in the US.