This is for a client of Recruiting from Scratch.Who is Recruiting from Scratch...Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers - software - and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital - Lightspeed Ventures - Tiger Global Management - A16Z - Accel - DFJ - and more.https://www.recruitingfromscratch.com/About our ClientOur Client is an AI platform solving a unique finance use case.Location : NYC - Flatiron office. In-person team.Your role Build Engineer software systems around sophisticated ML models Take ownership Report directly to co-founders Oversee significant parts of our tech and product Set culture and practice Shape our early engineering culture and processes Evolve our approach on frontend infrastructure - web server design - abstractions - etc. Wear multiple hats Help hire and build out the rest of the early engineering team - there will be no shortage of responsibility Balance long-term thinking and smart abstractions with shipping fast and iterativelyWhat you have: Experience: 5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experience Autonomy: Exercise a high-degree of autonomy and technical authority Flexibility: Willing and interested to jump across multiple disciplines Team-first mentality: you are interested in building for the long-term alongside founding team members - and committed to mentoring others and being mentored Passion for vision : Genuinely excited about our tech and its impact on accounting - finance - and economy Curious about latest AI: Experimented with ChatGPT - etc. Experience with financial workflows : Worked with corporate financial data/products geared to finance professionals NYC-based: Seeking in-person environment; working from office most days of week All-in: This is not a 9-5 - we have a massive opportunity ahead of us and are looking to multiply our engineering speed. We are optimizing for the best folks and happy to compensate generously A little something extra You know it when you see itBonus points Hiring : A knack for spotting and recruiting engineering talent Data science : Hands-on experience with data science projects Machine learning: Experience training models or building ML-ops systems Fintech APIs: Experience with foundational fintech APIs e.g. - Quickbooks - Plaid - etc. Product ownership : Experience owning a product end-to-endSalary Range: $100 - 000-$200 - 000 base. Equity. Medical - Dental - Vision.https://www.recruitingfromscratch.com
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