The role involves conducting R&D in machine learning, particularly in model training and architecture development. Candidates should have a background in deep learning and experience in hands-on experiments with foundational models.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

You will optimize ML infrastructure, automate ML pipelines, manage versioning, and collaborate with engineers to ensure model scalability and reliability.

Support training and benchmarking of LLMs, evaluate datasets, and assist the Pathway Research Team to advance AI capabilities.

Develop and execute a developer relations strategy, foster community engagement, create content, and collaborate with product teams to optimize developer experience and adoption of Pathway's product.

As a Pre-Sales Engineer, you will collaborate with customers to assess their needs, lead installation processes, build relationships, and provide technical expertise, ensuring informed decision-making for Pathway's AI solutions.

This is an entry-level position at Pathway, offering opportunities to learn and work in the AI industry while gaining hands-on experience with a diverse team.

Support training and benchmarking of LLMs, prepare and evaluate training datasets, and assist the core research team at Pathway.

The Senior ML Infrastructure / DevOps Engineer will design, operate, and scale infrastructure for machine learning workloads, automating provisioning and building robust ML pipelines while collaborating with ML teams for production readiness.

As a Solutions Architect at Pathway, you will design and deploy AI models for enterprise customers, bridge sales and technical teams, and contribute to scalable solutions.