Applied AI/ML Engineer

About the role

Build the core AI behind Confido — and get your hands on an unusually rich, messy dataset: hundreds of thousands of documents across dozens of sources and hundreds of layouts and contexts, much of it beyond what any system reads well today. As a Senior Applied AI / ML Engineer, you'll own AI problems end to end — research, prototyping, production, and the evaluation that keeps probabilistic systems reliable — across document understanding, forecasting, and agentic workflows.

Location: New York, NY (Relocation supported)

What You'll Do

• Build LLM systems that turn complex, inconsistent financial documents into clean, typed, validated data — the backbone the rest of the platform runs on
• Design agentic workflows that retrieve and reason over fragmented enterprise systems, with the eval harnesses and guardrails to run them in production
• Build and improve demand forecasting across thousands of intermittent series — classical time-series and gradient-boosted models, with rolling-origin backtesting and best-fit selection
• Wrangle messy, real-world data: baselining, outlier and anomaly detection, entity reconciliation, and ingestion across heterogeneous sources
• Own how we measure success — eval datasets, benchmarks, and monitoring for systems with no single "correct" answer

Required

• 3+ years of applied AI / ML, with systems you've taken to production (not just prototypes)
• Depth in at least one, and working fluency across several, of: time-series / forecasting and statistical modeling; LLM and agentic systems; large-scale messy-data engineering
• You build evaluation and monitoring as a matter of course — and know which metric to trust, and how to avoid leakage and train/serve skew
• Strong product sense: you turn AI capability into real outcomes, and know when a simpler approach wins
• Masters degree in STEM

Nice to have

• Demand forecasting / time-series (Prophet, ARIMA-family, gradient-boosted)
• Agentic workflows, RAG, or retrieval systems in production
• Document understanding / information extraction from unstructured sources
• Startup experience or comfort in fast-moving environments

Benefits

• Equity — own a meaningful piece of the company you're helping build
• Fully paid health coverage through Aetna — we cover 100% of employee premiums
• Top-tier dental and vision coverage through Guardian
• Carrot Fertility Pro — comprehensive fertility and family-forming support
• 12 weeks of paid parental leave
• Unlimited PTO — plus regular 4-day holiday weekends we actually take
• 401(k) through Vestwell
• Paid relocation support — we'll help you make the move to NYC
• Fully equipped workspace from day one — laptop, monitor, keyboard, and a $200 stipend to personalize your setup
• Team perks — catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with

Pay

$200K - $250K