Senior Applied AI/ML Engineer
Confido
The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees.
We're building the platform they run on, and a brand they'll be proud to be part of.
We're trusted by 250+ brands managing $20B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum. 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
- 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
- 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
- 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
Vacancy posted 4 days ago
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