ML Engineer

Title: Machine Learning Engineer (hybrid onsite 3x week in Morristown, NJ)
Duration: Long term contract position
Location: Morristown, NJ
Visa: ead, GCead
Interview: Local candidates only (2 rounds - final interview is ONSITE)
Key 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.

 
Required Qualifications

• 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.

• 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.