Senior ML Engineer (Level 4) — Deploy Real-World ML at Scale

SNAP, Inc.; San Francisco (CA); On-site; USD 173,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support programs

RSU equity

Job summary

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models powering Snapchat's core features. You will own the full ML lifecycle from data analysis to production deployment and collaborate with cross-functional teams to prototype and launch ML-driven features.

You're expected to apply modern ML techniques to real-world problems, optimize for scalable, secure, and high-quality code, and mentor teammates while staying at the forefront of AI tooling and evolving systems.

Qualifications

• Strong understanding of machine learning approaches and algorithms.
• Experience with ranking, recommendations, search, or image generation is preferred.
• Ability to work independently and with internal/external partners.
• Strong collaboration and mentorship skills.
• Proficiency in AI tools with the ability to audit output for architectural integrity, performance bottlenecks, and security risks.
• Adaptability in learning and applying evolving AI systems and tools.

Responsibilities

• Build and deploy machine learning models that power core products, serving 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.
• Utilize AI tools and high-velocity engineering workflows to design and ship scalable services while upholding rigorous standards for code correctness, security, and production-ready quality code.

Skills

ML fundamentals

Model deployment

Cross-functional collaboration

Mentorship

AI tooling

Security & production readiness

Education

Bachelor's Degree in CS or related field

3+ years ML experience or MS/PhD

Tools

TensorFlow

PyTorch

Spark ML

scikit-learn

Job description

Snap Inc. is seeking a Machine Learning Engineer to build and deploy ML models powering Snapchat's core features. You will own the full ML lifecycle from data analysis to production deployment and collaborate with cross-functional teams to prototype and launch ML-driven features.

You're expected to apply modern ML techniques to real-world problems, optimize for scalable, secure, and high-quality code, and mentor teammates while staying at the forefront of AI tooling and evolving systems.