Data ScientistMachine Learning Specialist This role offers an exciting opportunity to work with state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. The successful candidate will play a key role in breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions. We're looking for someone who is eager to make a lasting impact, who relishes the pressure and privilege of working with high-caliber colleagues, and who actively seeks feedback to keep growing. Key Responsibilities: The mission of our Platform Product Group engineers is to build a trusted, scalable, and compliant platform to operate with speed, efficiency, and quality. Our teams build and maintain the platforms critical to our existence. This role requires frequent in-person participation throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment.
See More Details >>Job Role: Software Development Professional Job Overview: As a Software Development Professional, you will research, design, develop and test operating systems-level software for massive social data and prediction problems. Responsibilities include developing highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models, suggesting, collecting, analyzing and synthesizing requirements and bottleneck in technology, systems, and tools, developing solutions that iterate orders of magnitude with a higher efficiency, efficiently leveraging orders of magnitude and more data, and exploring state-of-the-art deep learning techniques. Required qualifications include a Master's degree in Computer Science or related field and three years of experience in machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems. Key skills include Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, Spark, C, C++, Java, scripting languages such as Perl, Python, PHP, shell scripts, relational databases and SQL, software development tools like Code editors (VIM or Emacs), revision control systems (Subversion, GIT, Perforce), Linux, UNIX, *nix-like OS, build highly-scalable performant solutions, data processing, programming languages, databases, networking, operating systems, computer graphics, human-computer interaction, applying algorithms and core computer science concepts to real world systems.
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