Senior Machine Learning Engineer

• 401(k)
• 401(k) matching
• Competitive salary
• Health insurance
• Opportunity for advancement
• Paid time off
• Training & development

• Strong coding skills in Python/Scala or equivalent
• Strong experience with LLM and large sets of data
• Experience with distributed data processing tools like Hive, Spark, Airflow and
• popular ML frameworks like Tensorflow or Pytorch are preferred
• Solid understanding of engineering best practices and complexities of models in
• production
• Experience developing and productionizing machine learning models is a plus
• Experience with Docker, Kubernetes, and Spark is a plus
• Experience with distributed data processing tools like Hive, Spark, and Airflow is a plus
• Industry experience building end-to-end Machine Learning Infrastructure is a big plus

• Work closely with Machine Learning Engineers to understand, refine, and prioritize requirements
• Design and build our model serving service with simple, powerful APIs to capture our users/clients needs
• Build our core ML model lifecycle management system to provide an ML-aware release and deployment experience
• Improve machine learning data quality by using & building tools to automatically detect issues
• Create intelligent ML-aware real-time monitoring & observability systems
• Work closely with partner teams to integrate with other ML tools to create a seamless end-to-end experience
• Leverage open-source technologies like Kubeflow, Kubernetes, Spark, Docker, Airflow, Tensorflow, and PyTorch

This is a remote position.