About Us:
Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry!
Responsibilities:
As a Staff ML Engineer, your primary responsibilities will be to own end-to-end machine learning projects. You will be tasked with designing, developing, and deploying high-performance ML models to solve complex, green-field problems at scale. This includes defining use cases, curating and engineering large-scale datasets, selecting appropriate tools and technologies, building and validating production-grade models, and optimizing them for cost, performance, and latency. You will be integral to ensuring that our ML solutions are robust, scalable, and impactful from ideation through to deployment and evaluation.
- Conduct thorough analysis of data to identify patterns, trends, and anomalies to generate lineage graphs, predict dataflows, identify break code challenges.
- Develop and implement machine learning models and algorithms to build ML & AI deployments ground-up, 0 → 1.