Applied Research Engineer

3 weeks ago


Provo UT, United States Branded Entertainment Network Full time

Who WE AreBENlabs connects global brands to consumers through the power of popular entertainment. From the world-leading product integration platform, to the global leader for rights clearances and representation (Greenlight), to the best in class Influencer channel optimization solutions (TubeBuddy), BENlabs helps elevate projects, amplify brands, and captivate audiences. Our team is global, with offices in Los Angeles (headquarters), New York, London, Shanghai, and Provo. At BENlabs, we recognize that our employees are the key to the company’s success and work hard to maintain our incredible company culture. While BENlabs is a well-established organization and a recognized industry leader with a rich history of integration and licensing success stories, we have not abandoned our start-up mentality. BENlabs continually evolves branding strategies through artificial intelligence and predictive modeling to meet the unique needs of our clients. To that end, BENlabs is results-oriented, client-centric, and highly creative organization which offers candidates the opportunity to learn from the best and the brightest in this dynamic industry. BENlabs offers a competitive benefits package and promotes an environment which supports our core values of Passion, Accountability, Teamwork, Inclusion, Balance and Empowerment.Who YOU AreDo you instinctively put yourself in the minds of the users and clients?  Are you curious and always hungry to learn something new?  Do you love the iterative process of development? If you want to work at a company large enough to do really cool things and small enough that your voice will be heard, this may be your dream job.  BEN is seeking a Applied Research Engineer to play an important role in our burgeoning fully remote AI team.  The ideal candidate is solution oriented, creative, curious, detailed, and values exceptional work.  Candidates must possess programming skills and a willingness to continuously learn and improve oneself.  If you have verbal, abstract and spatial reasoning, as well as the ability to mentally build complex systems and implement them with a sharp eye for detail, we want you.      Responsibilities Feature engineering as well as designing, training, and putting into production a variety of ML based solutions focused on computer visionArchitecting and building data pipelines for streaming analysis of video dataOwn full-stack technology, from data to product including the feedback loopImagine what is possible to accomplish with our data and computing resources and build prototype systems capable of demonstrating value.Consulting with, and learning from, key stakeholders across the business to improve our products.Building and maintaining datasets from internal and external sources, keeping them in sync with dependent databases and systemsWork with external vendors and consultants to leverage their data, expertise, and experienceQualifications & Skills Knowledge of Python and common data libraries especially Pytorch.Experience in applied ML or ML systems/infrastructureExperience implementing technologies for video anomaly detectionExperience building and designing low latency API’sExperience building reliable low latency ML microservicesBS in science or engineering preferred but not required.Deep love of learning. Our field changes daily and you have to love learning.Empathic communication, can you express technical thoughts while being kind and considerate to others.Results driven, have a focus on creating real things for real people instead of just training models.Willingness to be wrong and admit mistakes. We do a lot of research and many things don’t work out.Willingness to ask for help, we don’t expect you to be an expert but we expect you to know when to ask for help and learn.Autonomous, we work mostly remotely and as such it’s important that you can manage your time effectively without heavy oversight.$166,000 - $213,000 a yearWe are pretty flexible on the salary. Salary will not be a constraint to candidates with exceptional research experience, and expertise. In addition to the expected range listed, this role will be eligible for an annual bonus. Actual pay will be adjusted based on experience and location.Don’t meet every requirement listed? Studies show that women and people of color are less likely to apply for jobs when they don’t meet every requirement. At BENlabs, we are committed to building a diverse and inclusive community, so if you think you could crush this role, even without all the listed qualifications, please apply You may be exactly who we didn’t even know we need.Provo /Technology – AI R&D /Full-time/ Remote



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