[Remote] Senior Machine Learning Engineer at Maze

Europe

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cybersecurity, Artificial Intelligence, AI & Machine Learning, Software DevelopmentIndustries

Requirements

Candidates should have over 5 years of experience building and scaling machine learning systems in production environments, with hands-on experience moving from experimentation to customer-facing deployments. A strong background in classical neural networks and deep learning fundamentals is required, along with experience building ML systems that solve real business problems and integrating classification, prediction, or recommendation systems into actual products. Experience across multiple organizations, strong Python skills with flexibility across ML frameworks and tools, and the ability to operate autonomously while maintaining close alignment with leadership are also necessary.

Responsibilities

The Senior ML Engineer will be the technical leader driving machine learning infrastructure from experimentation to production, taking full ownership of evaluation frameworks, production ML pipelines, and cross-team ML integration. Responsibilities include building production-grade evaluation systems, owning the experimentation-to-production pipeline, enabling cross-team ML integration, optimizing AI agent performance, scaling ML infrastructure, and partnering with engineering leadership. The role also involves providing mentorship to junior ML engineers through code reviews and technical guidance.

Skills

Machine Learning

LLMs

AI Agents

Cybersecurity

ML Infrastructure

Production ML Systems

Evaluation Frameworks

ML Pipelines

Prompt Engineering

Scalable Systems

Experimentation

Product Development

Maze

Product research platform for agile teams

About Maze

Maze is a product research platform that assists agile teams in quickly testing and gathering user insights to enhance their design and development processes. The platform allows product managers, designers, and researchers to consolidate their research efforts into one easy-to-use interface. Users can import prototypes from popular design tools like Figma and Sketch with a single click, enabling them to conduct usability tests on high-fidelity designs. Maze supports testing multiple design variants in one study, which helps teams make informed decisions based on real user feedback rather than intuition. The company operates on a subscription-based model, offering various pricing plans to accommodate different team sizes. Maze's goal is to empower product teams to create user-centric products by providing fast and continuous feedback, ultimately driving business growth and improving user satisfaction.

Paris, FranceHeadquarters

2018Year Founded

$55.9MTotal Funding

SERIES_BCompany Stage

Consumer Software, DesignIndustries

51-200Employees