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Staff ML Engineer
IronKite
📍 Remote (APAC)
📅 Full-time
📁 Data
Posted: 2026-06-17

About the Role

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

What You'll Do:
- Collaborate with analysts and engineers to define data models
- Design and optimize data warehouse schemas for performance
- Monitor data quality and build alerting systems for anomalies
- Create dashboards and reports for business stakeholders
- Partner with engineering to integrate data products into the platform
- Drive experimentation frameworks and A/B testing infrastructure

What We're Looking For:
- Recognized expertise that spans multiple teams or domains
- 8+ years of experience with increasing scope and impact
- History of influencing technical or product strategy at scale
- Ability to work on ambiguous problems with limited direction

What We Offer:
- Company-wide team retreats twice per year
- Home office setup stipend ($500-$1,000)
- Parental leave and family-friendly policies
- Unlimited PTO and company-wide recharge days
- Health, dental, and vision insurance (or stipend for international hires)

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.

Required Skills

SparkAirflowBigQueryRedshiftDatabricksKafka

Ready to Apply?

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Salary Range
$160k-$210k
Per year • Remote