Duties: Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems; Construct and maintain data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Develop highly scalable model servers on cloud platforms; Work with product, account, and infrastructure engineering teams to define future product roadmaps
Requirements: MS or Ph.D. degree in Computer Science or related technical field; 7+ years of software development experiences in Machine Learning, Deep Learning related areas; Fluent with one or more programming languages including Python, Java, and Golang; Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems; Experience in building a highly scalable model or online service system

Duties: As an Expert Data Scientist at QuantumBlack you will work in multi-disciplinary environments harnessing data to provide real-world impact for organizations globally. In this role, you will influence many of the recommendations our clients need to positively change their businesses and enhance performance. You will work on complex and extremely varied data sets from some of the world’s largest organizations to solve real world problems. You will develop data science products and solutions by writing highly optimized code to advance our internal Data Science Toolbox for clients, as well as for our data science team
Requirements: Master's degree or PhD level in a relevant field such as computer science, machine learning, applied statistics, mathematics; 10+ years of deep technical experience in distributed computing, machine learning and statistics related work; Programming experience in languages such as Python, R, Scala, SQL

Duties: Data Analysis: data gathering, analysis, and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, and scripts, and developing automated reports and dashboards to provide insights at scale; Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data; Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients; Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and servi
Requirements: Master's degree or equivalent practical experience; 5+ years of experience working with statistical packages (e.g., Python, SQL); Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analyses such as regression or time-series analysis; Programming: experience in Python and SQL is required

Duties: Data Analysis and Research: analyzing a large dataset with queries and scripts, extracting valuable signals from noise, and producing actionable insights into how we could complete and improve Moloco’s complex ML and bidding system; Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling; Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making
Requirements: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering); 3+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 2+ years of experience; Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation

Duties: The Boeing Korea Engineering and Technology Center (BKETC) is seeking Talented AI/ML Software engineers who will be responsible for Creation of best-in-class models and ensembles that can be re-purposed and reused, covering domains of Classification, Prediction, Fusion, Decision Making, and Generative AI solutions, as part of the AI Factory team at the BTECK Korea site
Requirements: Bachelor, Master or Doctorate of Science degree from an accredited course of study, in AI/ML Engineering, Computer Engineering, Software Engineering, Computer Science, Mathematics, Physics or other technical degree; 5-10 years of experience in developing models and ensembles in the AI/ML space

Duties: Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems; Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable; Develop highly scalable model servers on cloud platforms; Work with product, account, and infrastructure engineering teams to define future product roadmaps
Requirements: MS or Ph.D. degree in Computer Science or related technical field; 4+ years of software development experiences in Machine Learning, Deep Learning related areas; Fluent with one or more programming languages including Python, Java, and Golang; Knowledgeable with production-level machine learning applications including Natural Language Processing, computer vision, recommendation systems, and ranking systems; Experience in building a highly scalable model or online service system