Homebase
Engineering
AppliedAIScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Scientist at Homebase. Skills: LLMs, applied AI systems, productionize ML systems, Python, SQL. Drive advancements in LLMs and applied AI systems, rapidly experimenting and iterating in a fast-evolving landscape. Leverage, fine-tune, and deploy models—owning the lifecycle from experimentation to production, scaling, and monitoring”
What You'll Achieve.
Develop and track metrics that measure real customer impact, ensuring alignment with business outcomes; increase velocity and impact
Industry & Context.
Ability to break down complex problems into structured, solvable components
What They're Looking For.
Must Have
foundation in machine learning principles and applied modeling, Deep experience working with LLMs or frontier AI models (industry or academia), Demonstrated ability to productionize ML systems (real-time, batch, or streaming), Proficiency in Python and SQL for data manipulation and model development, Experience evaluating models using both technical metrics and business impact, Ability to break down complex problems into structured, solvable components, communication skills and ability to collaborate across functions, Adaptability and curiosity to evolve alongside rapidly changing AI capabilities, Experience improving workflows using AI tools and measuring impact (AI fluency expectation)
What You'll Do.
Drive advancements in LLMs and applied AI systems
rapidly experimenting and iterating in a fast-evolving landscape
and deploy models—owning the lifecycle from experimentation to production
Build AI-powered features that solve critical business problems across product domains
Develop and track metrics that measure real customer impact
ensuring alignment with business outcomes
Partner cross-functionally with Product
and Data teams to deliver production-ready solutions
Communicate insights and experiment results clearly to both technical and non-technical stakeholders
Support leadership and teams with data-driven decision-making
Continuously improve workflows using AI tools and automation to increase velocity and impact
How You'll Work.
Team & Collaboration
collaborate across functions; Partner cross-functionally with Product, Engineering, and Data teams; Communicate insights and experiment results clearly to both technical and non-technical stakeholders; Support leadership and teams with data-driven decision-making
Communication Scope
communication skills; Communicate insights and experiment results clearly to both technical and non-technical stakeholders
Full Job Description
Hi, Future Homie! At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team. We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in? 📍Your Impact Starts Here We’re looking for an Applied AI Scientist who’s passionate about building intelligent systems that directly impact real-world customers. You’ll work at the intersection of AI, product, and engineering—bringing cutting-edge models into production to power meaningful experiences for small business teams. This is a unique opportunity to shape how AI transforms team management, from automation to decision-making, in a fast-moving, AI-first company. You’ll collaborate across teams to deliver high-impact solutions and continuously raise the bar on what’s possible with modern AI. These are the key ways you’ll contribute and create impact in this role: - Drive advancements in LLMs and applied AI systems, rapidly experimenting and iterating in a fast-evolving landscape - Leverage, fine-tune, and deploy models—owning the lifecycle from experimentation to production, scaling, and monitoring - Build AI-powered features that solve critical business problems across product domains - Develop and track metrics that measure real customer impact, ensuring alignment with business outcomes - Partner cross-functionally with Product, Engineering, and Data teams to deliver production-ready solutions - Communicate insights and experiment results clearly to both technical and non-technical stakeholders - Support leadership and teams with data-driven decision-making - Continuously improve workflows using AI tools and automation to increase velocity and impact 🚀 The Foundation for Success - These are the experiences and strengths that will set you up for success
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