Product Designer for ML Platform

Yandex's ML Platform is an internal product for ML engineers and researchers. It helps with daily work with models: from writing and debugging code on CPU and GPU to running training sessions, analyzing results, and deploying models to production.

The platform brings all the key tools into one place so you can focus on working with models, not on configuring infrastructure and connecting different services.

The product is actively developing and is already used in real-world work scenarios within the company.

What tasks await you

Designing interfaces for the ML Platform You will design interfaces for a complex engineering product used daily by ML engineers and researchers. The product features high data density, non-trivial scenarios, and high demands for efficiency, transparency, and control. You will need to work with ML domain abstractions (experiments, metrics, models, pipelines, clusters), design interfaces for analysis, comparison, and decision-making, and find a balance between UI conciseness and the complexity of the underlying logic.

Team collaboration You will work closely with ML engineers and researchers, backend and platform developers, and product managers.

Working with the design system You will actively use and develop Gravity UI: reuse existing components and patterns, propose new solutions where current patterns are insufficient, and ensure interface consistency within the platform and with other internal infrastructure products. You can see examples of interfaces and projects from the last two years here.

We expect you to have

• Solid experience with B2B, B2E, and SaaS products
• Ability and enthusiasm for understanding technically complex tasks, taking into account constraints, use cases, and business objectives
• Know how to work under conditions of uncertainty, can independently identify task focus, formulate goals, and clarify information with stakeholders
• Able to justify design decisions and negotiate with development and product teams