Careers at Snap Inc.
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Engineering
| ROLE | TEAM | TYPE | LOCATION |
|---|---|---|---|
| Staff Machine Learning Engineer, Search Ranking | Engineering | Regular | Bellevue; Los Angeles; Palo Alto; San Francisco; Seattle |
| Machine Learning Engineering Intern | SPECS | Intern | London |
| Machine Learning Engineer, Level 4 | Engineering | Regular | Bellevue; Los Angeles; New York; Palo Alto; Seattle |
| Machine Learning Engineer, Level 5 | Engineering | Regular | Palo Alto |
| Working Student - Machine Learning | SPECS | Intern | Eindhoven |
| Machine Learning Engineer, Generative ML , Level 5 | Snap Product R&D | Regular | Los Angeles; New York |
| Principal Machine Learning Engineer, Content ML, Level 7 | Engineering | Regular | Bellevue; Los Angeles; New York; Palo Alto; San Francisco; Seattle |
| Software Engineer, ML Infrastructure, Level 4 | Engineering | Regular | Bellevue; Los Angeles; Palo Alto |
and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across Snapchat’s ML Infrastructure Build and | |||
| Staff Software Engineer, ML Infrastructure, Level 6 | Engineering | Regular | Bellevue; Palo Alto; Seattle |
What you’ll do: Design and optimize infrastructure systems for machine learning workloads at scale and drive reliability and efficiency improvements across | |||
| Software Engineer, Backend, Level 4 | Engineering | Regular | Bellevue; Los Angeles |
Infrastructure and large-scale system design Security Networking and data storage Machine learning and | |||
| Software Engineer, Backend, Level 4 | Other | Regular | Bellevue |
Infrastructure and large-scale system design Security Networking and data storage Machine learning and | |||
| Software Engineer, Backend, Level 5 | Engineering | Regular | Bellevue; Los Angeles; New York; Palo Alto; San Francisco; Seattle |
Security Networking and data storage Machine learning and natural language processing Tools | |||
| Software Engineer, Backend, Level 4 | Engineering | Regular | Bellevue; Los Angeles; New York; Palo Alto; San Francisco; Seattle |
Infrastructure and large-scale system design Security Networking and data storage Machine learning and | |||