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java aws python scala prompt engineeringπ Description
- Design, build, and improve ML training and inference pipelines.
- Apply ML and prompt engineering for AI-driven experiences.
- Create evaluation frameworks, incl. LLM-as-judge pipelines.
- Partner with music experts to bootstrap training data and taxonomy.
- Build scalable systems balancing velocity with production rigor.
- Collaborate with Data Science to tie evals to usage signals.
π― Requirements
- Experience deploying ML in production environments.
- Hands-on with LLMs, prompt engineering, eval systems, and shipping features.
- Experience building production ML systems with Python/Java/Scala.
- Experience building large-scale data pipelines for training data.
- Experience with cloud platforms (GCP/AWS/Azure).
- Ability to explain ML concepts to technical and non-technical audiences.
- Experience building user-facing products and conversational AI.
- Thrives in fast, cross-functional, experimental teams.
π Benefits
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
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