At a Glance
- Tasks: Own end-to-end ML systems and design scalable solutions for real business impact.
- Company: Join Jobber, a leader in SaaS event data and innovative machine learning.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Make a difference by driving ML engineering standards and collaborating with diverse teams.
- Qualifications: Experience in applied machine learning and strong problem-solving skills.
The predicted salary is between 123750 - 151250 $ per year.
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 Saa S 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.
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Staff Data Scientist, Applied ML in Winnipeg 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.
