Related skills
java postgres python kubernetes machine learning๐ Description
- Design and develop ML infra, tooling, and models.
- Help product teams with data lifecycle and ML experiments.
- Build internal platforms enabling AI features for products.
- Consult teams on ML patterns, anti-patterns, tradeoffs.
- Build scalable services for data integration and event processing.
- Write high-quality, testable code and coach others.
๐ฏ Requirements
- 5+ years backend experience in Go/Java/Python (Go/Python a plus).
- Experience moving/storing TBs of data or 100Mโ10B records.
- Experience building ML-driven B2B multi-tenant apps in production.
- Experience with ML tech: Python, Jupyter, Dagster/MLFlow/KubeFlow, DVC, Postgres.
- Cloud experience (AWS, GCP) and distributed systems.
- Self-driven with a track record delivering complex projects in production.
๐ Benefits
- Fully remote in US with option to work near Lehi HQ.
- Cross-functional, autonomous teams and culture.
- Work with cutting-edge AI tech and large-scale data.
- Inclusive, equal-opportunity employer.
- Clear AI policy guidance and supportive candidate experience.
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