Machine Learning Engineer at Snap Inc. building and deploying models for core products. Collaborating with teams to prototype and enhance features serving millions of users.
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
Requirements
Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience
3+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field
experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications of machine learning
advanced degree in computer science or related field (preferred)
experience working with machine learning frameworks such as TensorFlow, Caffe2, PyTorch, Spark ML, scikit-learn, or related frameworks
experience working with machine learning, ranking infrastructures, and system design
Benefits
paid parental leave
comprehensive medical coverage
emotional and mental health support programs
compensation packages that let you share in Snap’s long-term success
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