Machine Learning Engineer

Responsibilities

• Develop state-of-the-art methods for robust machine learning
• Work with software engineers and product managers to build customer-facing software around our core machine-learning technology
• Build strong, meaningful relationships with our customers in Japan and proactively seek to understand their technical and business objectives
• Champion customer needs internally, advocating for them within Robust Intelligence and leveraging your customer knowledge to influence the product roadmap
• Coordinate across multiple Robust Intelligence teams, including Product, Engineering, Sales, and Support to advance adoption, expansion, and other Customer Success priorities
• Design high-quality, differentiated proofs of concept that establish the value of the Robust Intelligence platform
• Build bespoke machine learning validation solutions using the RI platform
• Work with customers to architect integrations with their existing machine-learning

Requirements

• At least three years of professional experience with machine learning, ML operations, data science, or a related field
• Industry experience developing end-to-end production-grade machine learning systems
• Familiarity with advanced machine learning methods and strong algorithmic thinking
• Knowledge and experience of Python
• Experience with tooling and platforms in the ML ecosystem (Huggingface, MLFlow, Databricks, DataRobot, etc.)
• Good interpersonal skills, communication skills, and understanding of how to tie technical problems to business impact
• Native level fluency in spoken and written Japanese; you will work on building NLP/GenAI models for Japanese texts
• Business fluency in spoken and written English

Preferred

• Knowledge of REST, Kubernetes, Docker, and Unix
• Familiarity with major public cloud platforms (e.g. AWS, Google Cloud Platform, Azure) and their ML products (AWS Sagemaker, GCP Vertex AI, etc.)
• Programming experience in Go