About the Role
Staff ML / AI Engineer at Confido | Y Combinator's Work at a Startup
Work at a StartupStartup JobsInternshipsUpcoming EventsHow it WorksLog InStaff ML / AI Engineer at Confido (S21)$300K - $350K • 0.40% - 0.70%AI-enabled financial automation and intelligence for CPG BrandsNew York, NY, USFull-timeWill sponsor6+ yearsApply nowAbout Confido
Confido is a next-generation financial automation and intelligence platform that helps fast-growing CPG brands operate and scale more efficiently.
About the role
Confido is building an AI-native operating system for brands that sell into brick-and-mortar retail. We're building intuitive and powerful software paired with AI agents that help brands automate the 1000s of hours of tedious manual work that goes into scaling a brand in retail. Brands like Tropicana and Olipop use our first products in accounting and planning to account for and plan for $Bs of retail revenue.
We have best-in-class growth (5x YoY), efficiency, and we've recently raised a $15M Series A to build on the existing momentum.
The Role:
Location: New York, NY (relocation assistance available)
Compensation: $300,000 and $350,000 + Up to 40% Bonus + Benefits + Meaningful Equity (.4% - .7%).
You will be our Founding Staff ML / AI Engineer, setting the foundation for evolving our AI / ML capabilities. We have a unique mix of work across LLMs and advanced machine learning.
Potential Projects:
• Developing agentic systems to retrieve information from legacy systems
• Leverage NLP and LLMs to understand complex documents
• Predict brand sales using advanced machine learning techniques
• Detect anomalies in sales data to help brands sell more
• Recommend the optimal promotion for a brand at a retailer
What You'll Do:
• Own the full AI / ML lifecycle—from research & prototyping to production deployment & monitoring
• Collaborate directly with our CTO and CEO to define our technical and product strategy.
About You:
• Minimum of 5 years of Applied AI / ML experience, ideally in a startup environment
• Strong product mindset—the ability to bridge AI capabilities with real-world usage
• Experience fine-tuning LLMs (Llama, GPT) and designing AI prompt workflows.
• Strong background in ML systems design and engineering best practices
Technology
Confido develops in: Ruby on Rails for our back-end, TypeScript React for the front-end, and Python for ML services and R&D analysis. We also use a variety of cloud/serverless services including AWS Textract, Lambda, S3, SES, Postgres, Porter K8s, and Render.
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