Top Tech Jobs & Startup Jobs

Lead the evolution of Unity's Ads Experimentation platform as a senior machine learning engineer, focusing on optimizations and statistical methodologies for ad performance.

Lead the evolution of Unity's Ads Experimentation platform by bridging advanced statistical methodologies with engineering to optimize ad delivery and model validation.

The Senior Technical Content Marketing Manager creates and delivers technical content for Unity tools, collaborating across teams to drive marketing efforts. Responsibilities include developing articles, videos, and code demos to educate users and support customer success.

The Senior Technical Content Marketing Manager will strategize and create high-quality technical content while collaborating with various teams to support marketing efforts and drive customer engagement.

The Director of Content Marketing at Unity leads content initiatives, develops strategies for engagement and retention, and utilizes AI tools to enhance content. Responsibilities include collaborating across teams, overseeing content production, and analyzing performance for marketing campaigns.

The Director of Content Marketing will develop and execute content strategies to enhance Unity's brand presence, particularly leveraging AI. Responsibilities include collaborating across teams, monitoring performance, and leading content production initiatives.

As a Senior Machine Learning Engineer at Unity, you will modernize infrastructure, build intelligent systems using LLMs, and mentor teammates.

The role involves designing large-scale data pipelines for machine learning, improving ML workflows, and ensuring efficiency in distributed model training environments. Key responsibilities include developing infrastructure, integrating ML pipelines, optimizing performance, and collaborating with ML engineers on large-scale experimentation.

Design and operate large-scale ML data pipelines, develop infrastructure for distributed training workflows, and ensure reliability and performance of the offline ML platform.

Design and operate large-scale data pipelines for ML training, integrating orchestration tools, optimizing performance, and leading architectural improvements.