Responsibilities
- Advance capabilities in large language models and applied artificial intelligence by quickly testing and refining approaches in a dynamic environment
- Select, customize, and implement AI models, managing their full lifecycle from development to deployment, scaling, and ongoing oversight
- Design and integrate AI-driven functionalities that address key business challenges across multiple product areas
- Define and monitor performance indicators that reflect actual user impact and support strategic business goals
- Collaborate with Product, Engineering, and Data teams to build and deliver robust, production-grade AI solutions
- Clearly convey technical findings and experimental outcomes to diverse audiences, including non-technical stakeholders
- Assist leadership and teams in making informed decisions using data and analytical insights
- Optimize workflows by integrating AI tools and automation to enhance productivity and effectiveness
Benefits
- Stock options and retirement savings plan with 4% employer contribution
- Full health coverage including medical, dental, and vision for employees and dependents
- Flexible paid time off, company holidays, and dedicated focus periods
- Access to paid AI software with limited restrictions
- Enhanced maternity and parental leave benefits after six months of employment
- Annual Work From Anywhere Month and meeting-free weeks
- Life and disability insurance coverage
- Complimentary meals, team offsites, and customer engagement days
Compensation
Stock options + TFSA/RRSP with 4% company match
Work Arrangement
Hybrid
Team
Cross-functional environment with Product, Engineering, and Data teams
The Homie Way
- Prioritize customer needs by solving problems with empathy and creative thinking
- Embrace speed and learning through continuous experimentation and action
- Take ownership of outcomes by focusing on high-impact initiatives and standing by decisions
- Pursue excellence in your field to maximize contribution and influence
- Foster collaboration by aligning with shared goals, leading with trust, and connecting to the mission
What to Expect During the Interview Process
- Initial conversation with the Talent Acquisition representative, Mavel W.
- Discussion with the Hiring Manager, Ted N.
- Participation in technical interviews conducted on-site
- Meeting with the Director of Data & AI
- Background verification and offer extension
- Onboarding as a new team member
Other
- Mandatory in-office presence on Tuesdays and Wednesdays
- Background check and offer stage
