Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
About the role
- 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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