Rokt is a global e-commerce platform that harnesses AI and machine learning to deliver real-time, context-aware relevance at the point of purchase. Its flagship technologies—Rokt Brain and the Rokt Network—facilitate more than 6.5 billion transactions and reach 400 million customers worldwide for brands such as Live Nation, Macy's, PayPal, and Uber. The company’s mParticle data activation layer powers cross-channel engagement in e-commerce, advertising, and customer experience, while its partnership model returns $7 of value for every $8 generated for partners. With headquarters in New York City and offices in 10 regions, Rokt’s consistent 40%+ annual growth underscores its position as a leading partner for brands across North America, Europe, and Asia-Pacific.
Open Positions
Principal Machine Learning Engineer - Relevancy
Master/PhD in ML. 10+ yrs exp. building ML systems. AWS/Kubeflow knowledge. Deep knowledge in recommendation systems & modelling
Senior Machine Learning Engineer
Master's or PhD in ML, 3+ years experience building ML systems, experience with Kubeflow or similar, and familiarity with TensorFlow/Feature Store
Senior Software Engineer (Data Platform)
5+ years of experience designing and building distributed systems or data platforms at scale, proficient in writing performant code, and strong product and customer mindset
Senior Machine Learning Engineer (RPD - Rokt Brain)
Master/PhD in ML, 3+ years exp. Production ML systems with all model lifecycle. Strong skills in AWS, Kubeflow and Bayesian methods
Junior/Mid-Level Software Engineer
No prior network security experience needed. Contribute to design of fraud detection systems, work with AI/ML, and collaborate with cross-functional teams
Head of Platform Infrastructure
5+ years of senior leadership experience, 8+ years of leading software engineering teams, expertise in cloud infrastructure, and experience in incident management
Machine Learning Engineer
Nearing completion of PhD in Machine Learning or equivalent hands-on experience
Senior Software Engineer (Cloud Infrastructure)
5+ years of experience in platform, SRE, or DevOps engineering roles, with a focus on Kubernetes and cloud-native infrastructure, and hands-on mastery of Spark on Kubernetes (Gateway, Operator) and workflow schedulers like Flyte or Airflow
Software Engineer
AI-Enthusiast & Quick Learner, Problem Solver, Entrepreneurial Mindset, Collaborative Team Player, Driven & Results-Oriented
Senior Machine Learning Engineer
Masters/PhD in ML, 3+ years exp. in ML systems. Knowledge of AWS, Kubeflow, Tensorflow & recommendation systems is necessary. Bonus points for architectural experience like DCNV2, MMOE, Deep & Wide or ESMM
+46 More Jobs Available!
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