
Homeoffice Staff Machine Learning Engineer
Angi · Denver - Remote, Estados Unidos De América · Remote
Supera tus entrevistas tecnológicas con sesiones de prueba y tutores expertos de las mejores empresas.
Patrocinado por Exponent
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Patrocinado por Oyster
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Patrocinado por Designlab
Angi · Denver - Remote, Estados Unidos De América · Remote
Angi® · Denver - Remote, Estados Unidos De América · Remote
Launch2 · Denver (remote), Estados Unidos De América · Remote
Launch2 · Denver (remote), Estados Unidos De América · Remote
Angi · Denver - Remote, Estados Unidos De América · Remote
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Exponent – Supera tus entrevistas tecnológicas con sesiones de prueba y tutores expertos de las mejores empresas.
Patrocinado por ExponentAngi® is transforming the home services industry, creating an environment for homeowners, service professionals and employees to feel right at “home.” For most home maintenance needs, our platform makes it easier than ever to find a qualified service professional for indoor and outdoor jobs, home renovations (or anything in between!). We are on a mission to become the home for everything home by helping small businesses thrive and providing solutions to financing and booking home jobs with just a few clicks.
Over the last 25 years we have opened our doors to a network of over 200K service professionals and helped over 150 million homeowners love where they live. We believe home is the most important place on earth and are embarking on a journey to redefine how people care for their homes. Angi is an amazing place to build your dream career, join us—we cannot wait to welcome you home!
About the team
Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.
What you’ll do
Who you are
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
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