This is a contract role for a Machine Learning Engineer based in Morristown, New Jersey, for a duration of 6+ months. You will develop, deploy, and optimize recommendation, ranking, and personalization models in high-volume consumer environments, working across cloud infrastructure and modern ML frameworks.
Responsibilities
Develop and deploy recommendation, ranking, targeting, and personalization models using techniques such as collaborative filtering, embeddings, neural networks, and learning-to-rank.
Process large-scale datasets and support batch and real-time model inference.
Partner with engineering, product, analytics, and business teams to integrate ML solutions into production applications and data pipelines.
Establish model evaluation frameworks, conduct A/B testing, and optimize performance using technical metrics and business KPIs.
Explore advanced approaches, including contextual bandits, reinforcement learning, LLMs, and agentic AI, for potential personalization applications.
Qualifications
Required
5+ years of professional experience in machine learning, data science, or ML engineering, including meaningful recommendation or personalization experience, within e-commerce, retail, digital media, consumer technology, marketing technology, or another high-volume consumer environment.
Experience with customer segmentation, audience targeting, marketing analytics, or customer data platforms.
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Proven experience building and operating production recommendation, ranking, targeting, or next-best-action models.
Strong Python skills and experience with PyTorch, TensorFlow, or comparable ML frameworks.
Strong understanding of recommendation algorithms, embeddings, ranking models, and large-scale behavioral or transactional data.
Experience deploying ML workloads in cloud environments, with hands-on AWS and Databricks experience.
Familiarity with modern LLM architectures and agentic AI frameworks.
Previous experience building recommender systems within the Marketing and/or Retail industries.
