Senior ML / AI Engineer
Confido - NYC Office | OnSite
Posted Jun 10, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior ML / AI Engineer NYC Office | OnSite Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale. Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more. We've achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum. As a Senior AI / ML Engineer, you will help build the core AI systems powering the Confido platform-from LLM-powered document understanding to predictive models that help brands make better decisions. You'll work closely with engineering and product to bring AI capabilities from research to production. Location: New York, NY (Relocation supported) WHAT YOU'LL DO - Own the AI/ML lifecycle: research → prototyping → production deployment → monitoring - Build systems that extract structured data from complex financial documents - Develop agentic workflows that retrieve and reason over fragmented enterprise systems - Build predictive models to forecast brand sales and financial performance - Detect anomalies in retailer and sales data - Develop recommendation systems that optimize retailer promotions - Partner with engineering and product to integrate AI capabilities into the platform EXAMPLE PROBLEMS - AI-powered ingestion of invoices, deductions, and retailer reports - Agent workflows that retrieve data from legacy systems - Sales forecasting
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