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.

Seeking a highly skilled Software Solutions Architect with experience in the development of complex software solutions related to big data processing and high load to join our team. Responsible for designing and implementing robust, efficient, and scalable solutions for internal platforms. You will work closely with stakeholders to ensure that solutions are aligned with the company's strategic goals and technical standards.

As an intern at Quansight Labs, you'll contribute to a PyData open-source project with mentorship and interaction with the Quansight Labs team. Refine skills in open-source contribution, pair programming, code reviews, communication, and time management. Interns work under experienced mentors, network with peers, and gain valuable experience in the open-source community.

Seeking a Senior Software Developer to lead the development, customization, and integration of our new CRM system, ensuring a seamless transition, optimizing workflows, and leveraging technology to drive operational excellence. The ideal candidate will have a strong background in software development, CRM platforms, API integrations, and database management.

Develop and integrate backend services with front-end user elements. Design software architecture and make high-level design decisions. Engage in the full software development lifecycle from concept to deployment. Collaborate with team members to solve complex problems and improve functionality.

This software and data engineering role on the StreamLine Label & Integrations team is responsible for building integrations with third party systems and using humans/machines to label images of food from StreamLine scales. It requires API development using Python and AWS, as well as ELT development using Snowflake and Prefect, working closely with the Lead Software Engineer and Lead ML Engineer.

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.

As an FDE, apply your problem solving ability, creativity, and technical skills to support customer’s implementations and workflows. Gain rare insight into challenging customer problems and directly contribute to solving them. Work with Solution Architects and other Forward Deployed Software Engineers to understand customer problems and design workflows to solve them.

We are seeking an experienced Machine Learning Engineer with a strong background in end-to-end ML systems, cloud platforms, data pipelines, and model monitoring to lead the development of cutting-edge machine learning software systems for credit modeling and default risk prediction, ensuring solutions meet the diverse needs of users and merchants through testing.

As the Software Engineer, Simulation you will support the engineering effort to enhance and integrate the existing Simulation ecosystem into Cavnue’s platform and data pipelines. You will develop key new capabilities to enable ML, testing and HW workflows and use-cases that drive system analysis, feature development and capability exploration. You will also support the architecture and build of integration components to facilitate Cavnue and partner simulation development efforts.