1 час назад
Senior Applied AI / ML Engineer (AI)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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