As a Staff Machine Learning Engineer, you will design and develop scalable platforms and services focused on driving business impact, while raising the bar for technical excellence; you will work with other machine learning scientists, engineers, and product managers to help define the ML roadmap. You will define, design, and maintain scalable Machine Learning data pipelines, training infrastructure, and inference systems.

As an AI Engineer, you will have a direct and impactful role, potentially shaping the trajectory of the company. You'll collaborate with cross-functional teams to improve scalable AI systems, research and integrate new AI technologies, and build and deploy AI solutions using Python, LLM libraries, AI third-party services, and AWS services. This role encourages innovation and creativity.

This role is pivotal in scaling our AI-driven Customer Service (CS) chat analysis, where you will manage data processing pipelines, optimize large language model (LLM) prompts, and collaborate with cross-functional teams to expand classification coverage, drive bot adoption, and maintain high accuracy.

This fast-paced role offers extensive growth potential for a world-class ML leader to build a team tackling challenging ML problems. As Head of AI Agent / Staff ML Engineer, you will lead our core ML team, ship product, and collaborate with leadership to shape our AI roadmap, building ML products to unlock agentic flows in recruiting.

The Senior Computer Vision Engineer will develop and deploy computer vision models that enhance our product offerings using Python and PyTorch to design and implement scalable, efficient code. They will collaborate with cross-functional teams to integrate computer vision solutions into existing systems and stay ahead of industry trends. They will also lead research and development projects.

Drive the development of new frameworks, metrics, and tooling that help people build, test, and improve LLM tasks, playing a lead role in shaping how developers measure and understand performance in advanced AI systems. You'll design and open-source new libraries and APIs that make it simpler to evaluate LLM output quality, collaborate with the community, and integrate with the existing platform.

AI Software Engineers are responsible for developing and implementing intelligent solutions that revolutionize construction logistics. They will design and implement AI/ML solutions to enhance the logistics platform, focusing on scalable, production-ready systems. This role involves collaboration with cross-functional teams, ownership of AI initiatives and driving technical decisions around AI architecture and tooling.

The Lead Machine Learning Engineer sits on the StreamLine Label & Integrations team and reports to the CTO. This role leads the development of Topanga’s implementation of classical and foundational models to achieve accurate and performant machine understanding of food production data sets. This includes strategy definition, development, testing, and collaboration with the Lead Software Engineer.

We are looking for a highly motivated Software Engineer to join our Engineering team and apply the latest Large Language Model (LLM) technologies to SysTrack, our AI-driven Digital Employee Experience (DEX) platform. The ideal candidate will be at the cutting edge of LLM advancements, eager to translate the latest AI innovations into transformative features for our commercial product.