About the job
Join us at Grindr in a hybrid position based in our Palo Alto or San Francisco offices, with in-office attendance required on Tuesdays and Thursdays.
Why This Role is Exciting:
As a pivotal figure at Grindr, you will lead our transformative AI journey. This is your opportunity to leverage state-of-the-art machine learning techniques to revolutionize the way millions within the LGBTQ+ community connect, whether through engaging conversations, casual meetups, or meaningful relationships. Our commitment to machine learning is strong, and you will play an essential role in shaping our strategy and execution on this unique global platform.
Impact from Day One: You will be instrumental in establishing foundational systems in an early-stage ML environment, charting the roadmap for our long-term strategy.
Innovative Recommendations: Design and scale recommendation platforms that connect millions to their next significant experience, tailored to diverse user intents.
Conversational Insights: Employ large language models (LLMs) to extract insights and establish best practices for conversational AI, enhancing user engagement with precision.
Key Responsibilities:
Develop and manage large-scale recommendation systems to serve millions of users while balancing performance and innovation.
Utilize advanced LLMs to analyze extensive conversation data, enhancing connections among users.
Prototype, iterate, and deploy production-ready ML solutions addressing real user challenges.
Provide technical guidance across teams, collaborating with engineering, data science, and product teams to turn innovative ideas into reality.
Assess and incorporate emerging AI tools and techniques organization-wide to maintain a leading-edge technology stack.
Qualifications We Seek:
Over 10 years of experience in building ML systems, particularly in developing 0-to-1 systems, platform architecture, and pioneering new capabilities. Familiarity with recommendation systems is advantageous.
Proven track record of delivering scalable solutions, with proficiency in Python and popular ML frameworks.
A proactive mindset and the ability to work in a fast-paced, dynamic environment.