Senior Machine Learning Engineer

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.We are looking for a Senior Machine Learning Engineer

Competitive salary & world class benefits! 

As a Senior Machine Learning Engineer, you will apply your expertise in modeling, statistics, and programming to design and implement cutting-edge machine learning models that address key business challenges, including user targeting, dynamic ad content generation, entity embeddings, and recommendation systems. Collaborating closely with engineering, product, and data science teams, you will develop scalable, production-ready solutions, optimize model performance, and ensure integration into real-time systems. This role offers the opportunity to significantly impact business outcomes by leveraging AI to personalize experiences and optimize advertising strategies.

About the role: 

• Work on a variety of Machine Learning projects in the Ads recommendation domain: user segmentation and targeting, user embeddings generation, Gen AI driven Ad content generation.
• Leverage the latest Generative AI techniques to dynamically create engaging Ad content and model features.
• Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions.
• Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc.

• Use the latest generative AI coding tools including ChatGPT and Github Copilot.

• Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc.
• Keep track of emerging tech and trends, research the state-of-art deep learning models, prototype new modeling ideas, and conduct offline and online experiments.
• Mentor other team members, facilitate within/across team workshops and lead the agile development.