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Description:
- Lead the development of AI features, focusing on document intelligence and RAG pipelines from prototype to production.
- Optimize inference and performance of LLMs, ensuring robust, ethical, and scalable solutions.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in ML/AI engineering, with a focus on performance and infrastructure.
- Proficiency in Python, shell scripting, and experience with vLLM or similar frameworks.
- Strong understanding of GPU architecture and LLM inference mechanisms.
- Experience with Kubernetes (GKE) for deploying models on shared GPU clusters.
Benefits:
- Competitive salary range: $159,300 - $250,100 per year.
- Comprehensive health insurance, paid leave, and 401(k) employer match.
- Employee referral bonuses and various types of leave (vacation, parental, bereavement).
- Commitment to diversity, equity, and inclusion in the workplace.
Job title
Job type
Required experience
5 years
Salary
$159,300—$250,100 / year
Degree requirement
Degree requiredLocation requirements
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Benefits
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