Machine Learning Engineer Intern

Coinbase · Hybrid - San Francisco, CAjunior

En corto

▸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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¿Qué piden?

✓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.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PyTorchTensorFlowPythonGitCI/CDDockerKubernetesAWSMLflowPostgreSQL

¿A quién escribirle en Coinbase?

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Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: • Develop, deploy, and operate machine learning models and pipelines at production scale • Drive an end-to-end research project applying modern ML techniques to solve a defined business problem • Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases • Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: • Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field • Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow • Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets • Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Req ID: P78143 #LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. Hourly Rate: $60 — $60 USD • Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. • Equal Opportuni

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