Junior Machine Learning Engineer, Residency

Rokt is the global leader in ecommerce, focused on making every transaction more relevant. We leverage advanced machine learning to optimize customer experiences in real-time across the Rokt Network, powering billions of transactions annually for major brands.

About the Role

The Rokt Residency is an 18-week, full-time, paid early-career program for software engineers. This program offers the opportunity to receive full-time offers upon completion. Residents are expected to use enterprise AI tools from day one to build faster and contribute to critical services.

Key Responsibilities

• Build, train, and evaluate machine learning models to predict customer response to offers.
• Deploy models into production and monitor their performance, robustness, and scalability.
• Design and analyse experiments to assess the impact of new models or approaches.
• Build and utilize AI tools and automations to accelerate coding, testing, and deployment.
• Collaborate with Applied Scientists and product managers to translate business problems into practical ML solutions.

Requirements & Tech Stack

Required

• Strong computer science fundamentals: data structures, algorithms, and clean, tested code.
• Proficiency in at least one programming language, such as Go, Java, C#, Rust, TypeScript, or Python.
• Hands-on experience using AI coding tools for software development.
• Software engineering experience, including internships, personal projects, open-source work, or hackathons.
• Evidence of having built and shipped a real project, product, or tool used by others.
• Drive: High standards, ownership beyond assigned tasks.
• Reasoning ability: Ability to break down complex problems and attention to detail.
• Brilliant and humble: Collaborative, open to ideas, and supportive of teammates.
• Availability for the full 18 weeks of the program in New York City.

Preferred

• Foundational understanding of statistics, probability, and core ML concepts (model evaluation, overfitting, feature engineering).
• Experience with PyTorch or TensorFlow.
• Projects in recommendation systems, deep learning, reinforcement learning, or Bayesian methods.

Benefits

During the Residency

• Enterprise access to leading AI tools with generous usage limits.
• Catered lunch daily and a stocked pantry.
• Dog-friendly offices.
• Generous Technology Allowance for a Macbook Pro M5 + accessories.

If You Join Full Time

• Fully funded insurance (Medical, Dental, Vision).
• Dollar-for-dollar 401K matching plan.
• Fully funded life, short term, and long term disability insurance.
• Equity in a profitable, fast-growing company.
• Monthly Wellness and Cell Phone Allowances.
• Quarterly performance reviews.
• Extra leave (bonus annual leave, sabbatical leave).
• Team-based in-office work at least 4 days a week.