Clari is hiring a
Staff Machine Learning Platform Engineer

Summary

The job is for a Staff ML Engineer at Clari who will design and build the next generation of ML architecture and data pipelines. The role requires 8+ years of development experience using Java or similar object-oriented languages, 4+ years of background in AI, Machine Learning, and Data Science, 4+ years of experience building ML and data pipeline architectures, knowledge of Python, Scala, TensorFlow, PyTorch, Keras, SQL, and NoSQL databases, and strong problem-solving skills. The position is fully remote and offers various benefits such as medical insurance, mental health support, pre-IPO stock options, well-being and professional development stipends, retirement 401(k) plan, paid parental leave, discretionary paid time off, focus on culture, charitable giving match, and in-person and virtual events.

Requirements

• 8+ years of development experience using Java or similar object-oriented languages for server-side development
• 4+ years of background in AI, Machine Learning, and Data Science
• 4+ years of experience building ML and data pipeline architectures
• Knowledge of Python, Scala and frameworks such as TensorFlow, PyTorch, Keras
• Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)

Responsibilities

• Design and build the next generation of ML architecture that will power large-scale data science projects
• Manage and enhance the current ML platform that trains and deploys Clari’s AI models
• Design and develop the next-generation data pipeline architecture for powering all of Clari’s AI models

Preferred Qualifications

• Experience delivering successful software projects from inception through deployment
• Strong problem-solving skills and expertise in data structures and algorithms
• Experience building scalable systems and architectures
• Experience working with and building enterprise-scale ML and data platforms is a plus
• A proven track record of developing applications that are deployed in production and widely used by customers is a plus
• Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus

Benefits

• Remote-first with opportunities to work and celebrate in person
• Medical, dental, vision, short & long-term disability, Life insurance, and EAP
• Mental health support provided by Modern Health
• Pre-IPO stock options
• Well-being and professional development stipends
• Retirement 401(k) plan
• 100% paid parental leave, plus fertility and family planning support provided by Maven
• Discretionary paid time off, monthly ‘take a break’ days, and Focus Fridays
• Focus on culture: Charitable giving match, plus in-person and virtual events