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Ai Build Limited

Sr. Software Engineer, Generative AI

Ai Build Limited, Palo Alto, California, United States, 94306


The company is committed to leveraging AI to develop innovative features and products that enhance user experience in their matchmaking services. The role involves conducting applied research in Generative AI, developing prototypes, and implementing AI-driven features in production. Collaboration with other engineers and product managers is essential to integrate machine learning models into systems that handle vast amounts of data. Additionally, this position includes mentoring team members to foster their growth within a dynamic and impactful environment.Required Qualifications and Skills

The role requires a minimum of 5 years of hands-on experience in machine learning, demonstrating impactful solutions at scale. A PhD or MS in a quantitative field such as machine learning, computer science, or statistics is necessary. Candidates should possess extensive knowledge in deep neural networks and have experience with Generative AI. Proficiency in programming languages and deep learning frameworks is also essential, along with strong leadership and decision-making skills.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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