Machine Learning Engineer Intern
Coinbase · Hybrid - San Francisco, CAjunior
In short
- ▸Desarrollar modelos de ML a escala de blockchain durante 12 semanas.
- ▸Liderar un proyecto de investigación hasta producción con impacto real en seguridad y experiencia de usuario.
- ▸Trabajo híbrido con sesiones presenciales trimestrales llamadas 'surges'.
Proficiency in English is required for collaboration across global teams.
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- ✓Actualmente cursando doctorado en ML, aprendizaje profundo o campo relacionado.
- ✓Experiencia comprobada con PyTorch o TensorFlow.
- ✓Aplicación de técnicas de ML: supervisado, no supervisado o reforzado.
- ✓Conocimientos básicos de ingeniería de software: Git, pruebas, código Python de producción.
- ✓Uso responsable de IA generativa con supervisión humana.
- ✓Presentación de resultados a equipos multifuncionales.
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