Tinder is a leading social networking app, and as a Machine Learning Engineer Intern, you will play a crucial role in developing and implementing machine learning models to drive user engagement and growth. The successful candidate will be responsible for collaborating with cross-functional teams to design, develop, and deploy machine learning models, working closely with data scientists and engineers to identify opportunities for improvement, and contributing to the development of Tinder's machine learning infrastructure. The ideal candidate will have a strong foundation in machine learning, programming skills in languages such as Python, and experience with deep learning frameworks. A bachelor's or master's degree in Computer Science, Engineering, or a related field is required, with a strong academic record and a passion for machine learning and software development. Tinder is a dynamic and innovative company, with a strong focus on collaboration, creativity, and employee growth. As a Machine Learning Engineer Intern, you will have the opportunity to work with a talented team of engineers, data scientists, and product managers, and contribute to the development of cutting-edge machine learning solutions. The company offers a competitive internship program, with opportunities for professional development, networking, and career advancement. The work environment is fast-paced and dynamic, with a strong focus on innovation, creativity, and collaboration. As a Machine Learning Engineer Intern at Tinder, you can expect a salary range of Not specified, with benefits including health insurance, retirement plans, and flexible work arrangements. The company also offers a range of perks, including on-site fitness classes, free meals, and social events. For career advancement, Tinder offers a range of opportunities, including professional development programs, mentorship, and career coaching. The company is committed to diversity, equity, and inclusion, and offers a range of resources and support for underrepresented groups. To apply, please submit your resume and a cover letter through the LinkedIn job posting. We look forward to hearing from you.