Were on a mission to help get everyone a job they love. Find the job you love here!
We believe we are entering a new era of work, where people are not looking for jobs they are seeking opportunities. Focusing on in-demand technology roles, we intelligently match outstanding people to full-time and freelance opportunities at the world's most innovative companies. By taking the pain out of the job search, we help people build purpose-driven careers and businesses find the talent to fulfill their missions. Ultimately, we want to empower everyone to find and do their best work, from one opportunity to the next.
We are headquartered in San Francisco, with offices in cities across North America, Europe, Asia and Australia, and plans to expand into new geographies, industries and job categories.
ABOUT THE ROLE:
We are looking for a Senior Machine Learning Engineer to join our Data Science and Relevance team to build new products using machine learning algorithms.
WHAT WE NEED YOUR HELP WITH:
WHAT WE LOOK FOR:
COMP, BENEFITS, & PERKS:
We believe that when we can bring our whole selves to work on a day-to-day basis we become happier, more comfortable, more confident and more excited to do great things for our company, each other, our product and our users. We aim to both build an internal team as well as help our clients build their teams with talent from all different backgrounds and lifestyles.
We are committed to building a diverse, equitable and inclusive workforce. We are an equal opportunity employer; we welcome and consider qualified applicants regardless of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, pregnancy status, veteran status, or any other differences. Members of communities historically underrepresented in tech are encouraged to apply.
For San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.
San Jose, San Francisco CA
Phone: 866 816-1615 x 823