Address
Form of work
SalaryWho 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/
Our Client
Our client is an AI platform for accounting firms, providing accountants with a team of AI assistants. Accounting teams integrate our client as part of their team, delegating core workflows and automating time-consuming, manual work.
We recently closed a multi-fold oversubscribed - and yet unannounced - seed round backed by top VCs. Our client is already in use at several leading, large accounting firms in the US.
Location : NYC, Flatiron office. Fully In-person team.
The Role:
- Build
- Design evaluation experimentation, and monitoring processes for ML
- Engineer ops systems on cutting edge of complex ML workflows
- Take ownership
- Report directly to co-founders
- Oversee end-to-end ML ops
- Set culture and practice
- Shape our early engineering culture and processes
- 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 iteratively
Essentials
- ML Ops + Engineering: Experience building out production ML systems around complex workflows
- Workflow orchestration, monitoring + visibility, experimentation + A/B testing
- Data engineering/ ETL pipeline experience
- Has owned systems at small and medium scales
- Interest in LLMs, NLP, Reinforcement Learning, Probabilistic Graphs, deep learning a plus
- Experience: 5-10 years of experience in the field; open to exceptional candidates with fewer years but strong experience
- Vision: Thoughts on how to evolve processes for new ML paradigms
- Scrappy: Ability to iterate quickly in near-term while planning for long-term
- 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
- 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 it
Bonus points
- Hiring : A knack for spotting and recruiting engineering talent
- Experience with financial workflows : Worked with corporate financial data/products geared to finance professionals
- Product ownership : Experience owning a product end-to-end
Salary range: $160,000 - $200,000 annually
https://www.recruitingfromscratch.com/
