ML Architect

A rapidly-growing company that is leveraging the power of modern technology to develop an innovative generative insights engine, is looking for an ML Architect. The selected candidate will be collaborating with the two founders to ensure that the algorithms can run at scale, and define and refine the NLP models and datasets. The company's cutting-edge algorithms are minimizing human bias and produce a comprehensive perspective from numerous sources to help analysts find new insights and patterns to enhance the quality of their analysis and make better, faster, and more accurate data-driven decisions. This is a nice opportunity for candidates who are eager to climb the career ladder and build world-class products. 

Job Responsibilities:

• Discover and create the most effective techniques for topic extraction, tracking topic convergence and divergence, vectorizing such data, and representing the resulting insights
• Create, put into practice, and test ideas for radically upgrading deep learning, classification, NER neural network, and unsupervised language learning models
• Work collaboratively to grasp the characteristics and constraints of different libraries, and common techniques, and to come up with fresh ideas for improving the performance of our models
• Driven by a burning need for performance enhancements, work with the technical team to execute changes downstream

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 8-10+ years of relevant experience as an ML Architect
• Prolific experience with Software Architecture
• Demonstrable experience working with Python and Natural Language Processing (NLP)
• Prior experience with Vector imbedding
• Prior expertise in designing complex machine-learning models
• Ability to focus on the details of deeply creative thinking to overcome obstacles and carry out long-term system plans 
• Excellent numeric insight and inventiveness in creating clever algorithms for large-scale performance 
• Excellent teamwork and communication skills, as well as the ability to explain the architecture and implementation plan to the engineering and founding teams 
• Ability to work in a fast-paced startup where everyone is giving it their all and trying to bring out the best in one another in order to support one another and realize our ambitious plan
• Great conversation and written English communication skills