Applied AI Scientist (Hybrid)

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 in this role:

Strong 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

Strong communication skills and ability to collaborate across functions

Adaptability and curiosity to evolve alongside rapidly changing AI capabilities