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A leading company in home services is seeking a Director of Machine Learning & Engineering to lead the AI transformation. This role involves guiding a team of engineers in deploying ML models, integrating leading AI tools, and fostering innovation in real-time applications. Candidates should possess a strong background in machine learning, ideally with a master's or Ph.D. and extensive experience in large-scale applications.
At Angi, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.
Angi at a glance:
Angi is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well.
For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business.
We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.
Angi is an amazing place to call home. We can’t wait to welcome you.
What you’ll do
Angi is seeking an exceptional Director of Machine Learning and Engineering to be a driving force behind Angi's transformation. The role is to be a leader in our Artificial Intelligence team, tackling challenges such as integrating Angi’s search with LLM Providers like OpenAI GPT and Google Gemini. This is a leadership role, leading a team of dedicated machine learning engineers to both develop ML prototypes and then take them to production. In addition to being a leader, we’re also looking for someone who can dive into tech and get their hands dirty to solve some of Angi’s biggest technical challenges.
Who you are
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.