Location: NYC Office
Job Type: Full-time
Salary: $250K - $330K
Experience: 5+ years
Visa: US citizen/visa only
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance, accounting, sales, and operations, unified in one system for the first time.
We're growing 5x year over year with a small team in New York City; the people who join now will shape the product, the culture, and the company itself.
If you want your work on shelves everywhere — and outsized ownership while you build — we'd love to meet you.
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
What we're looking for
Required
5+ 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
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
🌴 Perks + 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
Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Summary
Build and productionize LLM, agentic, and forecasting systems over messy financial documents and enterprise data, with rigorous evals and monitoring. Requires 5+ years of applied AI/ML with production systems and depth across forecasting, LLM/agentic systems, or messy-data engineering.
Responsibilities
Build LLM systems turning financial documents into typed data; design agentic workflows with evals and guardrails; build demand forecasting across intermittent series; wrangle messy real-world data; own eval datasets, benchmarks, and monitoring
Qualifications
5+ years of applied AI/ML with systems taken to production; depth in at least one of time-series/forecasting, LLM/agentic systems, or large-scale messy-data engineering; builds evals and monitoring; strong product sense
Experience requirements
5+ years of applied AI / ML, with systems you've taken to production
Benefits
Equity; fully paid health/dental/vision through Aetna and Guardian; Carrot Fertility Pro; 12 weeks paid parental leave; unlimited PTO plus 4-day holiday weekends; 401(k) through Vestwell; paid relocation to NYC; fully equipped workspace with $200 stipend; catered Friday lunches and snacks