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Sr. Software Engineer, Machine Learning

Palo Alto, CA, United States

The role at Tinder involves developing machine learning algorithms and systems for recommendation models utilizing deep learning techniques. Required skills include proficiency in deep learning frameworks such as TensorFlow and Keras, and programming languages like Python, Java, and Scala. Applicants need a PhD or MS in a quantitative field with at least 5 years of professional experience. Collaboration with other machine learning engineers and product managers is essential for integrating ML models to improve user experience and drive business objectives.

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

Founded in Vancouver, Canada in 2003, Plenty of Fish is acknowledged as one of the early pioneers in the online dating industry, hosting one of the largest and most diverse communities of singles. It stands among the top revenue-contributing brands within the Match Group, which includes other notable names such as Tinder, OkCupid, Hinge, and Match.com. Plenty of Fish prides itself on its impactful role in people's lives, offering a platform where millions find opportunities for dating and meaningful connections daily. The company champions a data-driven culture and fosters an environment of collaboration and innovation among its team members, emphasizing the use of AI to scale its impact across different brands and product categories.

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