Join StardustLabs 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 Senior ML Engineer, you will have real ownership, meaningful impact, and the flexibility to work how you work best.

What You'll Do:
- Document data assets and maintain data catalog accuracy
- Collaborate with analysts and engineers to define data models
- Build and maintain robust data pipelines and ETL workflows
- Design and optimize data warehouse schemas for performance
- Monitor data quality and build alerting systems for anomalies
- Drive experimentation frameworks and A/B testing infrastructure
- Develop ML models and deploy them to production environments

What We're Looking For:
- Ability to drive technical decisions with long-term impact
- Excellent communication and stakeholder management skills
- Proven track record of delivering complex, high-impact projects
- Strong system design and architectural thinking
- Experience mentoring junior and mid-level team members

What We Offer:
- Company-wide team retreats twice per year
- Flexible hours — we trust you to manage your time
- Unlimited PTO and company-wide recharge days
- Home office setup stipend ($500-$1,000)
- 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.