- LLM platforms: OpenAI, Anthropic, open-source models
- ML frameworks: PyTorch, Transformers, spaCy
- Search/Vector DBs: Elasticsearch, Pinecone, PostgreSQL
- MLOps tools: Weights & Biases, MLflow, Langfuse
- Infrastructure: Docker, Kubernetes, GCP
- Development: Python, Git, CI/CD
We encourage candidates to apply to the engineering role and level that best align with their experience. To support a fair and consistent review process, candidates are limited to one engineering application every 60 days. Applying to multiple roles will not improve consideration, as our team evaluates candidates holistically across our engineering career framework throughout the interview process.
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Not ticking every box? That’s okay. We take potential into consideration. An equivalent combination of education and experience may be accepted in lieu of the specifics listed above. If you know you have what it takes, even if that’s different from what we’ve described, be sure to explain why in your application.
At Klue, we're committed to building a high-performing team where people feel a strong sense of belonging, can be their authentic selves, and are able to reach their full potential. If there’s anything we can do to make our hiring process more accessible or to better support you, please let us know, we’re happy to accommodate.