Sr. Machine Learning Engineer


Job Overview

Senior Machine Learning Engineer Our Labs team is looking for a Senior Machine Learning Engineer who is well-versed in Machine Learning to be a part of a highly talented engineering team to help create new products and services from the ground up for the next generation connected vehicles. We are looking for team members that are required to be creative in solving problems, excited to work in new technology areas and be ready to wear multiple hats to get things done in a highly-energized, fast-paced, innovative, and collaborative startup environment. Responsibilities Design and develop solutions using Machine Learning and other advanced AI technologies to solve a variety of problems Translate user stories and business requirements to technical solutions by building quick prototypes or proof of concepts with several business and technical stakeholder groups in both internal and external organizations Convert the proof of concepts to production-grade solutions that can scale for hundreds of thousands of users Be hands-on where required and lead by following best practices in development and CICD methods Own delivery of features from top to bottom, from concept to code to production Develop tools and libraries that will enable rapid and scalable development in the future Qualifications 5+ years of experience in software development for high-tech products or services 2+ years of hands-on production experience delivering products or solutions that utilized Machine Learning, Natural Language Processing, or other forms of AI solutions like machine vision Highly skilled in Python (NumPy) and preferably in one or more programming languages like C++, Java, Go, etc Strong hands-on experience in one or more of the Machine Learning tools like TensorFlow, PyTorch, Keras, Theano, or Caffe and have solved several real-life problems using these Experience in a variety of Deep Learning architectures and models including Residual Networks, RNNCNN, Transformer, andor Transfer Learning in a production environment Experience in designing and implementing Machine Learning pipelines in production environments Experience in one or more NLP libraries (i.e. spaCy, NLTK, etc) is a plus Experience with handling Big Data (Spark, HBase, Kafka, etc) is a plus Experience implementing solutions in a cloud environment (AWS or Azure) is a plus Experience working with data science in automotive telematics data and video is a plus Experience working in Agile Scrum environments is a plus You are confident in expressing your point of view from a position of knowledge and experience. You are also receptive to feedback and open to revising your plans when appropriate We think the knowledge acquired earning a degree Computer Science would be of great value in this position, but if you’re smart and have the experience that backs up your abilities, for us, talent trumps degree every timeSr. Machine Learning Engineer 1

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