Join Polaris AI and be part of a team redefining what is possible in data. We are well-funded with the resources of a scale-up and the speed of a startup. As a Principal MLOps Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.
What You'll Do:
- Create dashboards and reports for business stakeholders
- Develop ML models and deploy them to production environments
- Monitor data quality and build alerting systems for anomalies
- Collaborate with analysts and engineers to define data models
- Drive experimentation frameworks and A/B testing infrastructure
What We're Looking For:
- Exceptional ability to communicate complex ideas to all audiences
- Demonstrated impact at the company or industry level
- 10+ years of deep expertise in your domain
- Strong external presence through publications, talks, or open source
What We Offer:
- Home office setup stipend ($500-$1,000)
- Competitive salary with equity or performance bonuses
- Annual learning and development budget ($1,500+)
- Unlimited PTO and company-wide recharge days
- Fully remote — work from anywhere in the world
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.