Machine Learning Engineer (Consumer Marketing)

Job Description

Role: Machine Learning Engineer (Consumer Marketing)

Location: Parsippany, NJ (Hybrid Position & final round In-person interview)

Duration: Long Term Contract

Must haves:

\n
• Recommendation Systems/ Ranking Systems
\n
• Neural networks
\n
• Deep Learning
\n
• GRAPH
\n
• DeepFM
\n
• Matrix factorization
\n

Requirements:

\n
• 5+ years of experience in machine learning, with a focus on recommendation systems, ideally within consumer marketing, retail, e-commerce, or a related consumer-facing domain.
\n
• Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
\n
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
\n
• Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
\n
• Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
\n
• Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
\n
• Experience with Databricks and AWS.
\n