AI & Machine Learning Engineer at CommentSold

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AI & Machine Learning Engineer CommentSold. . About CommentSold. . CommentSold is the North American leader in live selling technology (ranked by G2), having enabled over 7,000 small to mid-sized retailers with live-selling tools, generating over 166 million items sold with $3.8B+ in lifetime GMV. CommentSold’s technology continues to provide businesses and creators of all sizes with best-in-class solutions for delivering engaging live video commerce experiences across all of their sales channels simultaneously. CommentSold moved into direct-to-consumer commerce via the acquisition of assets of Popshoplive, a community-driven livestream shopping marketplace app at the intersection of social, e-commerce and entertainment. In 2022, CommentSold debuted its lightweight video commerce plugin technology, Videeo, which gives any retailer or brand the ability to embed and go live with engaging, branded live video commerce experiences within days by easily integrating into an existing e-commerce stack.. . Join North America’s largest live selling and video commerce platform, and help drive the next level of growth as our newest . AI . &. Machine Learning Engineer. .. . Live Selling Starts at CommentSold.. . Our AI & Data team stays close to shops and creators selling through our platforms, building the Artificial Intelligence tools to make running their business easier. We make decisions fast, and priorities change as we adapt to the needs of our industry so we welcome folks that relish in the challenges of pace. We believe in quick iteration and in-the-moment feedback, so we can work collectively to build the best team and product.. . In this role, you will collaborate with a team of SW engineers and Cloud platform engineers, as well as data experts on our consumer-facing, live-selling platforms, and apps. This role works closely with our international & US-based product and engineering teams and will report to the leader of the AI & Data department.. . In this role, you will . . . Develop and maintain code that leverages computer vision, natural language processing and machine learning algorithms and technologies in solving hot business problems. . Utilize machine learning concepts and algorithms, and as well as other deep learning architectures to analyze video, images and large text corpora. . Review and train machine learning models in and evaluate their performance. . Develop product similarity and product recommender routines, adjust them to efficiently work as in-app features. . Understand and apply natural language processing in sentiment analysis, named entity recognition, and text summarization. . Orchestrate computer vision tasks of image classification, object detection, image segmentation, face and pose detection, movement and facial expression . . Deploy machine learning models to production environments and showcase proficiency in version control systems. . Gear usage of the image and video generation to support the business processes of our partners and their end-customers. . Keep up to date with latest advances in AI and machine learning. . Gain a deep understanding of our product and become involved in driving out product implementation. . Join a rapidly growing AI & Data team with the opportunity to take on both product and technical problems. . . If you're right for this role, you. . . Have 4+ years of Data Science or Machine Learning experience. . Have strong programming skills in Python (will be tested through interview process). . Have sound judgment for solving issues pragmatically without adding technical debt. . Demonstrate skills in designing, building, and evaluating predictive models and AI algorithms. Deep understanding of the recent landscape of possible AI solutions.. . Have passion for understanding business stakeholders’ problems and solving them in innovative and efficient ways. . Being skilled with cloud services (AWS, GCP, Azure) for deploying cloud solutions and APIs. . . Bring proven expertise in computer vision and NLP to the common table (will be assessed in the interview process). . Be comfortable in a fast paced, pragmatic work environment. . Have a strong understanding of core computer science principles, hone standard CI/CD practices. . Experience with e-commerce and/or live-selling platforms is a strong plus. . Work well in a remote, collaborative team environment; Have the ability to communicate your thought process in problem-solving, verbally and over Slack. . Have a mindset towards high-quality output and attention to detail, comfortable being able to provide and receive feedback in code reviews. . Possess strong analytical and problem-solving skills, be curious about new approaches and recent research . . Have strong desire to learn and stay updated with the latest in AI and machine learning. Persistent and resilient in the face of challenging technical problems. . Experience in Machine learning Ops is a plus for candidate. . Are a strong written and verbal communicator; English native speaker or Advanced English language skills. . Must be able to flex at least 4 working hours to overlap with North American time zones; Requirement to work until 3pm EST (US) to have team interaction with teams from the other time zones.. . . . . We love our values. . We’re building a community, our chosen circle, around a set of values that guide how we work and interact with the world around us. Our cultural norms at work can’t be turned off when the computer’s away -- we live these in every part of our lives. Our team isn’t for everyone, so if you’re right for it, the following values should resonate strongly with how you live your life.. . Deliver for our customer . COMMUNITY. : We are committed to making our customers successful.. . Do it as a . TEAM. : We actively listen to diverse perspectives and respond empathetically.. . Help each other . GROW. : We are willing to get uncomfortable for the sake of our growth.. . OWN. it: We do our part to reach the team's shared goals and hold ourselves and others accountable.. . DRIVE. forward: We are determined to innovate for impact.. .