Jobber is seeking a Staff Data Scientist, Applied Machine Learning to own end-to-end ML systems, including production pipelines, monitoring, and retraining, applied to large-scale SaaS event data. You will design and evaluate RAG systems on a graph backbone, partner with leadership, and drive ML engineering standards across the team.
You will work closely with product, analytics, and BI teams to translate complex problems into scalable ML solutions that impact real business outcomes at scale.
#J-18808-Ljbffr
Staff Data Scientist, Applied ML — Real-Time ML & RAG employer: Jobber
At Jobber, we pride ourselves on being an exceptional employer that fosters innovation and collaboration. As the Lead AI Systems Engineer, you'll be at the forefront of transformative AI initiatives, working in a dynamic environment that values your expertise and insights. With a strong focus on employee growth, cutting-edge technology, and a supportive work culture, Jobber offers a unique opportunity to make a meaningful impact while advancing your career in the heart of a thriving tech community.
