As a Senior Data Scientist, you will lead technical initiatives in AI-driven solutions, mentor junior team members, and collaborate with simulation engineers to solve complex engineering challenges.

Develop and enhance a platform for Data Scientists and Simulation Engineers to build and deploy physics-informed models, collaborating within a cross-functional team.

The role involves developing ML models and data pipelines, working with simulation engineers, and improving engineering practices in an AI-focused environment.

The Machine Learning Engineer will design and build ML pipelines, integrate models for simulations, and interact with customers to enhance engineering solutions.

The Senior Machine Learning Engineer will lead the deployment of ML models, design scalable systems, mentor team members, and collaborate with customers to solve engineering challenges.

Develop applications that utilize AI-driven physics models for engineering and manufacturing. Collaborate with cross-functional teams, design APIs, and maintain cloud infrastructure.

As a Senior Data Scientist, you'll lead projects transforming AI models into practical engineering solutions, mentor team members, and collaborate with customers. You'll architect deep learning models, develop data pipelines, and ensure successful integration within simulation frameworks.

As a Deployment Lead, you'll manage the end-to-end deployment of our platform, ensuring adoption and success within customer infrastructure, while addressing their unique needs and challenges.

The Content Strategist will develop and manage content across various channels, ensuring consistent voice and compelling narratives while working with technical teams to simplify complex ideas.

The Senior Customer Development Manager will drive customer growth by managing relationships, identifying opportunities, and collaborating cross-functionally. The role involves account management, business development, and engagement with key stakeholders to ensure success and deliver value.

Develop and maintain Machine Learning libraries, collaborate with research teams, ensure production-ready code, and drive software engineering best practices.

Responsible for the end-to-end deployment of the platform into customer infrastructure, fostering relationships with technical teams, and troubleshooting deployment issues.

The Senior Machine Learning Engineer will design, deploy, and mentor on ML models, collaborate with customers, and influence product direction. Responsible for robust ML systems and data pipelines.

The Senior Platform Engineer will manage cloud infrastructure on AWS and enhance an internal developer platform, focusing on Kubernetes, automation tools, and collaboration across teams.

As a Software Engineer, you will develop and maintain machine learning libraries focusing on performance and scalability, while owning the software lifecycle and collaborating with cross-functional teams.

As a Senior Frontend Software Engineer, you'll develop complex ML workflows on a platform for data scientists, enhancing user experience through modern front-end technologies and frameworks, while collaborating within an agile team.

As a Forward Deployed Software Engineer, you will build and deploy applications using physics AI models to solve complex engineering problems, collaborating with cross-functional teams and directly engaging customers for feedback.

As the Lead Forward Deployed Software Engineer, you will oversee multiple projects ensuring successful software delivery while cultivating talent and enhancing customer workflows across engineering disciplines.

As a Research Scientist, you will develop machine learning models for engineering challenges, collaborate with teams, and mentor peers. You will also communicate your findings with various stakeholders and write for academic and industry audiences.

Develop and optimize machine learning models for engineering applications, implement distributed training architectures, work collaboratively with researchers, and mentor junior colleagues.