Applied AI/ML Engineer

About the job

Responsibilities

• Build LLM systems to transform complex financial documents into clean, validated data.
• Design agentic workflows for retrieving and reasoning over fragmented enterprise systems, including evaluation harnesses and guardrails for production.
• Develop and enhance demand forecasting models using classical time-series and gradient-boosted approaches with rolling-origin backtesting.
• Wrangle and process messy, real-world data, including baselining, outlier detection, entity reconciliation, and ingestion from heterogeneous sources.
• Define and implement success metrics, evaluation datasets, benchmarks, and monitoring for AI systems.

Requirements

• 3+ years of applied AI/ML experience with systems deployed to production.
• Deep expertise in at least one of the following areas: time-series/forecasting and statistical modeling; LLM and agentic systems; large-scale messy-data engineering, with working fluency across several.
• Proficiency in building evaluation and monitoring systems, understanding metric selection, and avoiding leakage and train/serve skew.
• Strong product sense, with the ability to translate AI capabilities into tangible outcomes and recognize when simpler solutions are more effective.
• Master's degree in a STEM field.

Benefits

• Equity ownership in the company.
• Fully paid health coverage (Aetna).
• Top-tier dental and vision coverage (Guardian).
• Carrot Fertility Pro services.
• 12 weeks of paid parental leave.
• Unlimited PTO.
• 401(k) through Vestwell.
• Paid relocation support to NYC.
• Fully equipped workspace including laptop, monitor, keyboard, and a $200 setup stipend.
• Team perks such as catered lunches, team dinners, and unlimited coffee/snacks.