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Our client is a hyper-growth AI platform building developer tools for applied ML. Backed by leading AI-focused VCs, they’re shaping the future of ML adoption.
About The Role
Seeking Software Engineer to develop ML pipelines, infrastructure, and APIs, improve reliability, and collaborate on AI use cases. Requires strong Python and ML framework experience.
The role involves working as a Software Engineer focusing on machine learning (ML) pipelines, infrastructure, and APIs. The responsibilities include building production-ready ML APIs and pipelines, scaling infrastructure for training and inference workloads, collaborating with researchers on applied AI use cases, and improving the reliability and monitoring of ML services.
Requirements
- Strong Python engineering experience
- Familiarity with ML frameworks (PyTorch, TensorFlow)
- Cloud ML tooling (SageMaker, Vertex AI)
- Bonus: open-source contributions or AI research exposure
- Python engineering
- ML frameworks
- Cloud ML tooling
- Competitive salary + equity
- Remote-first global culture
- Annual stipend for professional growth
Equity: equity
Key Skills
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