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 Staff ML Engineer who thrives in high-ownership environments, we would love to hear from you.
What You'll Do:
- Partner with engineering to integrate data products into the platform
- Monitor data quality and build alerting systems for anomalies
- Document data assets and maintain data catalog accuracy
- Design and optimize data warehouse schemas for performance
- Build and maintain robust data pipelines and ETL workflows
- Create dashboards and reports for business stakeholders
What We're Looking For:
- Ability to work on ambiguous problems with limited direction
- 8+ years of experience with increasing scope and impact
- Recognized expertise that spans multiple teams or domains
- History of influencing technical or product strategy at scale
What We Offer:
- Health, dental, and vision insurance (or stipend for international hires)
- Competitive salary with equity or performance bonuses
- Annual learning and development budget ($1,500+)
- Home office setup stipend ($500-$1,000)
- Parental leave and family-friendly policies
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.