Machine Learning Engineer

Responsibilities

• Design and develop data processing pipelines, including data extraction, data filtering, and data labeling
• Implement machine learning models to improve data quality and diversity, such as quality classifiers and document layout models
• Own and lead engineering projects in data acquisition, including web crawling and data ingestion
• Collaborate with Applied Research, Technology, and Architecture teams to ensure system operability
• Develop and deploy highly scalable distributed systems capable of handling terabytes of data
• Architect and implement algorithms for data indexing and search capabilities
• Build and maintain backend services for data storage using key-value databases
• Deploy solutions in a Kubernetes Infrastructure-as-Code environment

Requirements

• BS/MS/PhD in Computer Science or a related field
• Proficiency in deep learning frameworks like PyTorch
• Experience in machine learning projects involving text or vision
• Expertise in large stateful distributed systems and data processing
• Proficiency in building large-scale data processing pipelines using tools like Ray, Docker, or Kubernetes
• Strong proficiency in Python and writing clean, maintainable code
• Excellent problem-solving skills regarding data anomalies and biases

Preferred Qualifications

• Active GitHub contributions
• Experience building large-scale datasets
• Familiarity with data crawling tools like Scrapy or collection tools like Selenium
• Experience with data processing tools such as Hadoop or Datasketch
• Ability to build bespoke data processing libraries from scratch
• Multilingual capabilities to enrich language diversity for model training

About the Company

Articul8 AI creates exceptional AI products that exceed customer expectations, focusing on shaping the future of Generative AI in the enterprise.