Senior Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer to design, build, and deploy ML systems at scale. You will bridge the gap between research and production, ensuring our models deliver real value.

What you will do:

• Design and implement scalable ML systems using MLOps best practices
• Build CI/CD pipelines for model training, testing, and deployment
• Optimize model inference for low-latency production environments
• Implement A/B testing frameworks for model evaluation
• Collaborate with data scientists to productionize research prototypes

• 4+ years of experience in ML engineering or MLOps
• Strong proficiency in Python, MLflow, Kubeflow, or similar platforms
• Experience with containerization (Docker, Kubernetes)
• Proficiency with cloud ML services (AWS SageMaker, GCP Vertex AI, or Azure ML)
• Strong software engineering fundamentals
• BS/MS in Computer Science or related field

• Competitive salary + equity
• Flexible working hours
• $3,000 annual conference budget
• Home office setup allowance
• Health and wellness benefits
• Team retreats twice a year