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32 minutes ago
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tensorflow pytorch llms rlhf jaxπ Description
- Shape the AI vision and align with product strategy to deliver value.
- Prototype and deploy AI systems (LLMs, RLHF, agent frameworks).
- Architect the AI-ready stack: event logging, data warehouses, feature stores.
- Partner with executives to define AI-enabled product directions.
- Mentor engineers and scientists across the org.
- Evangelize AI best practices and balance bold experimentation with delivery.
π― Requirements
- 10+ years training and deploying ML models at scale; applied AI research.
- Proven track record delivering production-grade AI systems; influence product strategy.
- Deep expertise in LLMs, fine-tuning, RLHF, embeddings.
- Strong systems background: data pipelines, feature stores, distributed training.
- Proficiency with PyTorch, TensorFlow, JAX, Triton.
- MS or PhD in CS, ML, Stats, OR or related field (or equivalent).
π Benefits
- Equity and benefits eligibility.
- Hybrid work: in-office 3 days/week; remote up to 4 weeks/year.
- Opportunity to shape Faire's AI strategy and products.
- Entrepreneurial, data-driven culture with supportive collaboration.
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