Senior ML Engineer: End-to-End ML Lifecycle & Scale

Snap; New York (NY); On-site; USD 173,000 - 259,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Emotional and mental health support programs

Job summary

Snap is seeking a Machine Learning Engineer to join their team in New York. The role involves building and deploying machine learning models that power core products for millions of users. Candidates should have strong skills in machine learning techniques and collaboration.

A Bachelor’s degree in a relevant field and at least 3 years of practical experience are required. The position offers a competitive salary range based on job-related skills and location.

Qualifications

• Minimum 3+ years of machine learning experience post-Bachelor’s.
• Experience in developing models for ranking, recommendations, search, and content understanding.
• Strong understanding of machine learning approaches and algorithms.

Responsibilities

• Build and deploy machine learning models for core products.
• Apply modern ML techniques to solve real-world problems.
• Collaborate with cross-functional teams to prototype ML-driven features.

Skills

Machine learning algorithms

AI tools

Problem solving

Collaboration

Adaptability

Education

Bachelor's Degree in computer science or equivalent practical experience

Master’s degree in a technical field

PhD in a relevant technical field

Tools

TensorFlow

PyTorch

scikit-learn

Spark ML

Job description

Snap is seeking a Machine Learning Engineer to join their team in New York. The role involves building and deploying machine learning models that power core products for millions of users. Candidates should have strong skills in machine learning techniques and collaboration.

A Bachelor’s degree in a relevant field and at least 3 years of practical experience are required. The position offers a competitive salary range based on job-related skills and location.