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Milpitas

    Senior Software Engineer, MLOps - Milpitas, United States - Recruiting from Scratch

    Recruiting from Scratch
    Recruiting from Scratch Milpitas, United States

    2 weeks ago

    Default job background
    Description
    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 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
    Are you the one?

    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

    We expect the majority of the candidates who are offered roles to fall healthily within the range based on these factors: Salary range: $100,000 - $200,000 annually

    #J-18808-Ljbffr
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