SigmaLabs 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 Senior MLOps Engineer who thrives in high-ownership environments, we would love to hear from you.
What You'll Do:
- Develop ML models and deploy them to production environments
- Document data assets and maintain data catalog accuracy
- Design and optimize data warehouse schemas for performance
- Monitor data quality and build alerting systems for anomalies
- Create dashboards and reports for business stakeholders
- Drive experimentation frameworks and A/B testing infrastructure
- Partner with engineering to integrate data products into the platform
What We're Looking For:
- Proven track record of delivering complex, high-impact projects
- 5+ years of relevant professional experience
- Ability to drive technical decisions with long-term impact
- Experience mentoring junior and mid-level team members
- Strong system design and architectural thinking
What We Offer:
- Annual learning and development budget ($1,500+)
- Competitive salary with equity or performance bonuses
- Flexible hours — we trust you to manage your time
- Parental leave and family-friendly policies
- Company-wide team retreats twice per year
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.