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Senior Applied AI / ML Engineer (AI)

200 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Applied AI / ML Engineer (AI): Building production AI systems for document understanding, demand forecasting, and agentic workflows with an accent on messy enterprise data, probabilistic system reliability, and end-to-end ownership. Focus on designing LLM pipelines, developing forecasting models with rigorous backtesting, and creating evaluation and monitoring systems for outputs without a single correct answer.

Location: On-site in New York, NY; relocation to NYC supported

Salary: $200,000–$250,000 annually, plus equity and a performance-based bonus of up to 40%

Company

AI infrastructure platform for consumer packaged goods brands, unifying finance, accounting, sales, and operations data.

What you will do

  • Build production LLM systems that transform complex financial documents into clean, typed, and validated data.
  • Design agentic workflows that retrieve and reason over fragmented enterprise systems, including production evaluation harnesses and guardrails.
  • Develop demand-forecasting solutions across thousands of intermittent time series using statistical and gradient-boosted models.
  • Prepare heterogeneous real-world data through baselining, anomaly detection, entity reconciliation, and ingestion.
  • Own evaluation datasets, benchmarks, and monitoring for probabilistic systems without a single correct answer.

Requirements

  • 3+ years of applied AI or ML experience with systems taken to production.
  • Depth in at least one area and working fluency across time-series forecasting, LLM and agentic systems, or large-scale messy-data engineering.
  • Experience building evaluation and monitoring systems while avoiding leakage and train/serve skew.
  • Strong product sense and the ability to translate AI capabilities into practical outcomes.
  • Master's degree in STEM.

Nice to have

  • Experience with demand forecasting, time-series methods, Prophet, ARIMA-family models, or gradient boosting.
  • Production experience with agentic workflows, RAG, or retrieval systems.
  • Experience with document understanding or information extraction from unstructured sources.
  • Startup experience or comfort working in fast-moving environments.

Culture & Benefits

  • Equity ownership and performance-based bonus opportunities.
  • Fully paid employee health coverage through Aetna, plus dental and vision coverage through Guardian.
  • Carrot Fertility Pro and 12 weeks of paid parental leave.
  • Unlimited PTO and regular four-day holiday weekends.
  • 401(k), paid relocation support, and a fully equipped workspace with a $200 personalization stipend.
  • Catered Friday lunches, team dinners, and snacks and coffee in the workspace.

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