Recruiting from Scratch
Senior Software Engineer, MLOps
Recruiting from Scratch, Milpitas, California, United States, 95035
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.
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. In-person team.
The Role:
Build:Design evaluation experimentation, and monitoring processes for MLEngineer ops systems on cutting edge of complex ML workflows
Take ownership:Report directly to co-foundersOversee 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 responsibilityBalance long-term thinking and smart abstractions with shipping fast and iteratively
Are you the one?Essentials:ML Ops + Engineering: Experience building out production ML systems around complex workflowsWorkflow orchestration, monitoring + visibility, experimentation + A/B testingData engineering/ ETL pipeline experienceHas owned systems at small and medium scalesInterest 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 experienceVision: Thoughts on how to evolve processes for new ML paradigmsScrappy: Ability to iterate quickly in near-term while planning for long-termAutonomy: Exercise a high-degree of autonomy and technical authorityFlexibility: Willing and interested to jump across multiple disciplinesTeam-first mentality: Interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentoredPassion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economyNYC-based: Seeking in-person environment; working from office most days of weekAll-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 generouslyBonus points:Hiring: A knack for spotting and recruiting engineering talentExperience with financial workflows: Worked with corporate financial data/products geared to finance professionalsProduct ownership: Experience owning a product end-to-end
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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.
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. In-person team.
The Role:
Build:Design evaluation experimentation, and monitoring processes for MLEngineer ops systems on cutting edge of complex ML workflows
Take ownership:Report directly to co-foundersOversee 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 responsibilityBalance long-term thinking and smart abstractions with shipping fast and iteratively
Are you the one?Essentials:ML Ops + Engineering: Experience building out production ML systems around complex workflowsWorkflow orchestration, monitoring + visibility, experimentation + A/B testingData engineering/ ETL pipeline experienceHas owned systems at small and medium scalesInterest 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 experienceVision: Thoughts on how to evolve processes for new ML paradigmsScrappy: Ability to iterate quickly in near-term while planning for long-termAutonomy: Exercise a high-degree of autonomy and technical authorityFlexibility: Willing and interested to jump across multiple disciplinesTeam-first mentality: Interested in building for the long-term alongside founding team members, and committed to mentoring others and being mentoredPassion for vision: Genuinely excited about our tech and its impact on accounting, finance, and economyNYC-based: Seeking in-person environment; working from office most days of weekAll-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 generouslyBonus points:Hiring: A knack for spotting and recruiting engineering talentExperience with financial workflows: Worked with corporate financial data/products geared to finance professionalsProduct ownership: Experience owning a product end-to-end
#J-18808-Ljbffr