Homebase

Applied AI Scientist (Hybrid)

Homebase • $90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in applied AI and machine learning
  • Expertise in large language models (LLMs) from a practical or research perspective
  • Proven track record of productionizing machine learning systems across various environments
  • Strong proficiency in Python and SQL for handling datasets and model creation
  • Ability to assess and communicate model performance using technical and business metrics
  • Strong problem-solving skills with a structured approach to complex challenges
  • Excellent communication skills for collaborative work across teams

Responsibilities

  • Drive advancements in AI with rapid experimentation and iteration
  • Leverage and deploy AI models throughout their lifecycle
  • Build AI features to address significant business challenges
  • Develop key metrics to evaluate customer impact and business alignment
  • Collaborate with Product, Engineering, and Data teams to create solutions
  • Communicate insights from experiments to both technical and non-technical audiences
  • Support data-driven decision-making for teams and leadership

Benefits

  • Stock options and a TFSA/RRSP with a 4% company match
  • Comprehensive medical, dental, and vision coverage for you and dependents
  • Flexible PTO policy along with company holidays and focus periods
  • Access to AI tools for building and experimentation without pay barriers
  • Maternity and parental leave top-up after 6 months
  • Remote work options including a month dedicated to remote work
  • Life insurance and disability coverage
  • Meal provisions and team building events
  • Mandatory in-office days to enhance collaboration and connection
Full Job Description
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
  • Experience improving workflows using AI tools and measuring impact (AI fluency expectation)


The Homie Way - These principles guide everything we do-from how we work and make decisions to how we show up for each other.
  • Be Customer Obsessed - Solve problems with empathy and creativity.
  • Move Fast, Learn Fast - Experiment, take action, and grow every day.
  • Own Your Impact - Think big, focus on what matters, and make decisions you stand behind.
  • Master Your Craft - Excellence fuels impact-show up, step up, and make your mark.
  • Win Together - Put goals over roles, lead with trust, and connect to our mission and each other.


What We Offer
  • Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
  • Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
  • Paid Time Off: Flexible PTO + company holidays + designated focus periods
  • AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.
  • Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
  • Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
  • 🛡 Protection Plans: Life insurance + short/long-term disability coverage
  • Workspace Perks: Meals provided, team offsites, and Customer Days
  • Our Hybrid Rhythm: We believe collaboration drives impact. That's why Tuesday and Wednesday are our required in-office days-a time to move faster as a team, build deeper connections, make better decisions, and build together.


What to Expect During the Interview Process
  • Meet the Talent Acquisition team, Mavel W.
  • Meet the Hiring Manager, Ted N.
  • Participate in Technical Interviews (Onsite)
  • Meet our Director of Data & AI
  • Background Check + Offer Stage
  • Welcome to the team, Homie


Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

About Homebase

Homebase is a British home improvement retailer and garden centre with stores across the United Kingdom and Ireland. Founded in 1979 by Sainsbury's and GB-Inno-BM, the company was owned by Home Retail Group from 2006 until it was sold to the Australian conglomerate Wesfarmers in 2016. In 2018, the company was sold again to Hilco Capital, a British retail restructuring specialist. Homebase sells a range of products for the home and garden, including DIY supplies, furniture, and home decor.
Learn more about Homebase
Size
1,000 employees
Industry
Founded
2016

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