3 часа назад
AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM/ML): Building production AI systems for patent claim analysis, infringement detection, and prior art search with an accent on multi-step LLM pipelines, retrieval, and rigorous evaluation. Focus on designing agentic workflows, optimizing inference quality, cost, and latency, and deploying monitored data and model pipelines on AWS and GCP.
Location: Hybrid in New York or Toronto; remote work may be available depending on location
Company
builds an AI-native patent intelligence platform that uses large language models and generative AI to support intellectual property protection and monetization.
What you will do
- Develop and deploy scalable AI and machine learning algorithms for patent intelligence applications.
- Design and iterate on multi-step LLM pipelines for patent claim analysis, infringement detection, and prior art search.
- Build evaluation frameworks with success metrics, curated datasets, and continuous regression testing.
- Develop retrieval systems using vector search, BM25 hybrids, and reranking for complex patent corpora.
- Architect agentic workflows with tool use, memory, and multi-turn reasoning.
- Optimize production inference quality, cost, and latency while monitoring data pipelines and models.
Requirements
- Experience shipping LLM-powered features as reliable production pipelines with monitoring and fallbacks.
- Strong Python skills and backend experience with API design, data pipelines, asynchronous processing, and observability.
- Strong technical background in ML and AI pipelines, ML methods, statistics, and the machine learning project lifecycle.
- Experience deploying, monitoring, and maintaining data science products in cloud environments such as AWS and GCP.
- Experience with data transformation and analytics tools such as Pandas, scikit-learn, SQL, or Spark.
- Familiarity with database modeling, data warehousing principles, and SQL.
Nice to have
- Interest in patent claims and willingness to develop expertise in intellectual property reasoning.
- Experience with model selection, prompt architecture, fine-tuning, model routing, and structured output contracts.
- Experience working with long technical documents or biological sequence identifiers.
Culture & Benefits
- Hybrid work environment with a collaborative, cross-functional group of researchers, applied scientists, engineers, and product managers.
- Medical, dental, and vision coverage, plus FSA, commuter benefits, and health advocacy.
- Mental health and wellness support, including access to Spring Health and Headspace.
- Unlimited PTO, 12 paid company holidays, and a full week off during the holiday break.
- Paid parental leave, professional development budget, gym membership stipend, and learning opportunities.
- Immediate 401(k) enrollment with no waiting period.
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