Smartcat is on a mission to become the wall-to-wall Language AI platform, addressing the diverse needs in multilingual content for various user personas within global enterprises.
Smartcat is uniquely positioned within the $100+ billion multilingual content industry, which is currently served by tens of thousands of agencies. This results in a highly fragmented and inefficient supply chain, high costs, unacceptable turnaround times, and quality issues. Using highly qualified internal resources to translate or create multilingual content (insourcing) solves the quality problem for enterprises, but if done manually, it can't solve for scalability, high cost, and slow turnaround.
Smartcat changes the ROI equation in favor of insourcing with its Language AI platform for enterprise end-users. It delivers high-quality, instantaneous AI translations or generates new content in any language by tapping into a customer-specific multilingual content library. The AI output is further refined through human editing by the client's internal reviewers or experts from the Smartcat's embedded global marketplace of linguists and content editors. This AI output continuously improves through the editing feedback loop, ensuring consistent and customer-tailored results.
More than 1,000 global companies including ~20% of the Fortune 1,000 trust Smartcat to communicate their innovations and ideas all over the world.
As a dynamic Series C company, Smartcat is growing at 130% YoY, thanks to the high and quick ROI it delivers to global enterprises. It's well-funded by notable VCs, and is capital efficient, offering a unique blend of hyper-growth potential with downside protection and the capacity for long-term planning and strategy.
As a Machine Learning Engineer, you will be at the forefront of advancing our platform’s computer vision capabilities. Leveraging your expertise in machine learning including data curation, pipeline development, and model monitoring, you will deliver high-performance solutions that power critical features for our growing client base.
The ideal candidate possesses a broad range of expertise in machine learning (data labeling, training pipeline development, and model deployment/maintenance), as well as strong engineering skills. In this role, you will tackle complex challenges across our computer vision (CV) projects and play a key part in driving innovation by contributing to our cutting-edge Image and Video Translation products.
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