Job Description
Job Duties: Building industrial-level models for critical ML tasks with advanced modeling techniques. Research, implement, test, and launch new model architectures including deep neural networks with advanced pooling and feature interaction architectures. Systematic feature engineering works to convert all kinds of raw data in Reddit (dense & sparse, behavior & content, etc) into features with various Feature Engineering technologies such as aggregation, embedding, sub-models, etc. Model architecture engineering via exploring different state-of-the-art model architectures such as Multi-task learning, Attention Layer. Build efficient ML infrastructure and tools such as auto ML flows and batch feature engineering framework, to accelerate ML dev cycle. Telecommuting is an option. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Business Analytics, Computer Science, Engineering (any field), or closely related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Machine Learning framework (Tensorflow, PyTorch); (2) Deep Learning; (3) Natural Language Processing (LLM, BERT); (4) Recommender Systems; (5) Data Pipelines and ETL (SQL, Apache Spark, Apache Kafka); (6) ElasticSearch;, (7) Redis; (8) Airflow; (9) Kubernetes and Docker; (10) Jenkins; and (11) Cloud Platform (GCP, AWS). Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $223,000.00 - $260,100.00 per annum & standard company benefits. Submit resume with references to: Req.# 1016.43.3 at: