Machine Learning Engineer

Machine Learning Engineer

________This is an example!________

PLEASE READ : these jobs are testing jobs of Lever's testing environment - please do not apply for this job.

Lever was founded ten years ago to tackle the most strategic challenge that companies face : how to recruit and hire top talent. Were building the next generation of hiring software that companies like Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify rely on to grow their teams. We've rethought the talent acquisition paradigm and are the innovation leaders in our space and looking for the right people to join us as we scale. Were extraordinarily proud of the company weve built so far (not to mention humbled to be recognized as the #1 place to work in San Francisco, as well as a top workplace in the entire United States). Our people are Levers biggest competitive advantage and well continue investing in our Leveroos and people-first culture.

Your day to day

• data migrations

Ideal candidate

THE LEVER STORYLever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have reached our Series D, raising more than $120 million. As the applicant tracking system of choice for Netflix, Atlassian, KPMG, and McGraw-Hill Education, and thousands more leading companies, Lever means you hire the best by hiring together. Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please dont hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. California residents applying for positions at Lever can see our privacy policy here.

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