Join NeuralPath 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 Mid-Level MLOps 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
- Build and maintain robust data pipelines and ETL workflows
- Drive experimentation frameworks and A/B testing infrastructure
- Design and optimize data warehouse schemas for performance
- Develop ML models and deploy them to production environments
- Partner with engineering to integrate data products into the platform
- Monitor data quality and build alerting systems for anomalies
What We're Looking For:
- Proven ability to deliver projects independently
- Solid understanding of best practices in your domain
- Excellent written and verbal communication abilities
- 3-5 years of relevant professional experience
- Strong analytical and problem-solving skills
What We Offer:
- Flexible hours — we trust you to manage your time
- Competitive salary with equity or performance bonuses
- Health, dental, and vision insurance (or stipend for international hires)
- Company-wide team retreats twice per year
- Annual learning and development budget ($1,500+)
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.