Machine Learning Engineer

About us: 

At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. 

Job Description: 

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data generation and data analysis.  You will own all work related to acquiring high-quality data to power the training of our domain-specific models end to end.  You will work closely with other researchers and engineers to empower our next generation of domain-specific models.  We value rapid prototyping, iterating, and shipping new systems quickly.  

Required Qualifications: 

• BS/MS/PhD in Computer Science or a related field. 

• Proficiency in at least one deep learning framework, such as PyTorch. 

• Experience in machine learning projects in text or vision, e.g., has trained machine learning models to tackle a specific problem. 

• Strong expertise in large stateful distributed systems and data processing. 

• Strong proficiency in building large-scale data processing pipelines, familiar with distributed workload (e.g., multiprocessing, Ray, Docker, Kubernetes). 

• Proficiency in at least one programming language commonly used in machine learning, such as Python and ability to write clean, maintainable code. 

• Excellent problem-solving skills and attention to detail, especially when handling data anomalies and biases to further improve data quality. 

Key Competencies 

• Active Github contributions are a big plus. 

• Experience in building large-scale datasets. 

• Familiar with at least one of the following tools for data crawling (e.g. Scrapy), data collection (e.g., VPNs, Selenium), data processing (e.g., Hadoop, Datasketch). 

• Building bespoke data processing libraries from scratch. 

• Keeping up with state-of-the-art techniques for preparing AI training data. 

• Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources. 

• Multilingual which contributes to enriching the language diversity crucial for robust model training. 

Responsibilities: 

• Design and develop data processing pipelines, including data extraction, data filtering, data labeling, etc. 

• Implement machine learning models to improve the quality and diversity of data (especially in the data extraction stage), e.g., quality classifier, document layout model, code verification model, etc. 

• Own and lead engineering projects in the area of data acquisition, including web crawling, data ingestion, and processing. 

• Collaborate with our Applied Research, Technology, and Architecture teams to ensure smooth data flow and system operability. 

• Develop and deploy highly scalable distributed systems capable of handling terrabytes of data. 

• Architect and implement algorithms for data indexing and search capabilities. 

• Build and maintain backend services for data storage, including work with key-value databases and synchronization. 

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