Applied AI Scientist (Hybrid)

Homebase; Toronto; Sur place; CAD 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Stock options

Comprehensive medical, dental, and vision

Flexible PTO

Access to paid AI tools

Maternity/Parental Leave support

Work From Anywhere Month

Meals provided

Team offsites

Life insurance

Disability coverage

Résumé du poste

Homebase is seeking a candidate to lead advancements in LLMs and applied AI systems in Toronto, Canada. This role involves building AI-powered features, collaborating with cross-functional teams, and ensuring solutions are aligned with business outcomes. Ideal candidates have a strong ML foundation, experience in productionizing ML systems, and proficiency in Python and SQL. Homebase offers comprehensive benefits, including stock options, flexible PTO, and hybrid work opportunities.

Qualifications

• Strong foundation in machine learning principles and applied modeling.
• Deep experience working with LLMs or frontier AI models, industry or academia.
• Ability to productionize ML systems (real-time, batch, or streaming).
• Proficiency in Python and SQL for data manipulation and model development.
• Experience evaluating models with both technical metrics and business impact.
• Strong communication skills and ability to collaborate across functions.
• Adaptability and curiosity to evolve alongside rapidly changing AI capabilities.

Responsabilités

• Drive advancements in LLMs and applied AI systems.
• Own the lifecycle from experimentation to production, scaling, monitoring.
• Build AI-powered features that solve critical business problems.
• Develop metrics that measure customer impact, ensuring alignment with business outcomes.
• Partner with Product, Engineering, and Data teams to deliver solutions.

Connaissances

Machine learning principles

LLMs or frontier AI models

Python

SQL

Communication skills

Problem-solving

AI tools fluency

Description du poste

Responsibilities

• 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.

Qualifications

• 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).

Benefits

• 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: 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.
• Hybrid Rhythm: Tuesday and Wednesday are our required in-office days.

At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know—we’re committed to ensuring fair and equitable access for all.

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