Senior Machine Learning Engineer

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems powering billions of transactions for hundreds of millions of customers and is trusted to do this by companies like Live Nation Fanatics Macy's AMC Theatres PayPal Uber Hulu Staples Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design build and productionise proprietary machine learning models to solve different business challenges including smart bidding lookalike modelling forecasting etc.

Target total compensation ranges from $335k - $400k comprised of a fixed annual salary of $210k - $260k plus employee equity plan grant. In addition you will receive world-class employee benefits.

Requirements

• Collaborate closely with product managers and other engineers to understand business priorities frame machine learning problems and architect machine learning solutions for smart bidding lookalike modelling forecasting and related ranking and prediction tasks.
• Build and productionise machine learning models including model-specific data pipelines feature engineering within the team's feature store and integration with the team's orchestration and serving infrastructure.
• Evaluate model performance through offline metrics and monitor deployed models for drift leading retraining or rollback decisions as needed.
• Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing unit testing and integration testing.
• Keep track of emerging tech and trends research the state-of-the-art deep learning models prototype new modelling ideas and conduct offline and online experiments
• Willingness to work 4 day in-office 1 day remote weekly schedule.

Benefits

• PhD or Master's in Computer Science Statistics Mathematics or related field with specialization in ML AI or Information Retrieval (or equivalent experience)
• Extensive knowledge in and experience with some of the following areas: Bayesian methods recommender systems multi-task modelling meta-learning click-through rate modelling or conversion rate modelling
• 3+ years of industry experience building production-grade machine learning systems spanning model training tuning deployment serving and monitoring
• Experience with Kubeflow (or similar) TensorFlow and a feature store in a production environment is a massive plus
• Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2 MMOE Deep & Wide ESMM xDeepFM and GDCN

What We Do

Rokt is the global leader in ecommerce unlocking real-time relevance in the moment that matters most - The Transaction Moment. Rokt’s AI Brain and Ecommerce Network powers billions of transactions connecting hundreds of millions of customers and is trusted to do this by the world’s leading companies including Live Nation Macy’s Fanatics AMC Theatres PayPal Uber Hulu Staples Albertsons and HelloFresh. Headquartered in New York City Rokt has offices across North America Europe and the Asia-Pacific region. To learn more visit Rokt.com.

Why Work With Us

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

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