At Polaris AI, we are reimagining how teams approach data. Our remote-first culture lets talented people do their best work without the limits of location. We are looking for a Staff MLOps Engineer who shares our values and is excited to grow with us.
What You'll Do:
- Document data assets and maintain data catalog accuracy
- Drive experimentation frameworks and A/B testing infrastructure
- Collaborate with analysts and engineers to define data models
- Build and maintain robust data pipelines and ETL workflows
- Develop ML models and deploy them to production environments
- Design and optimize data warehouse schemas for performance
- Partner with engineering to integrate data products into the platform
What We're Looking For:
- Exceptional mentorship and organizational leadership skills
- 8+ years of experience with increasing scope and impact
- Ability to work on ambiguous problems with limited direction
- History of influencing technical or product strategy at scale
- Recognized expertise that spans multiple teams or domains
What We Offer:
- Parental leave and family-friendly policies
- Annual learning and development budget ($1,500+)
- Home office setup stipend ($500-$1,000)
- Flexible hours — we trust you to manage your time
- Competitive salary with equity or performance bonuses
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.