Polaris AI is a product-led company helping businesses scale their data capabilities. We hire exceptional people and give them the autonomy to do their best work. If you are a Principal ML Engineer who thrives in high-ownership environments, we would love to hear from you.
What You'll Do:
- Drive experimentation frameworks and A/B testing infrastructure
- Develop ML models and deploy them to production environments
- Document data assets and maintain data catalog accuracy
- Collaborate with analysts and engineers to define data models
- Create dashboards and reports for business stakeholders
- Design and optimize data warehouse schemas for performance
What We're Looking For:
- Demonstrated impact at the company or industry level
- Strong external presence through publications, talks, or open source
- Exceptional ability to communicate complex ideas to all audiences
- 10+ years of deep expertise in your domain
- Experience shaping long-term technical vision and strategy
What We Offer:
- Parental leave and family-friendly policies
- Annual learning and development budget ($1,500+)
- Fully remote — work from anywhere in the world
- Health, dental, and vision insurance (or stipend for international hires)
- Home office setup stipend ($500-$1,000)
To apply, send your resume and a short note about why you are excited about this role. We review every application and respond within 5 business days.