Job description
Job Description
Role: Machine Learning Engineer (Consumer Marketing)
Location: Parsippany, NJ (Hybrid Position & final round In-person interview)
Duration: Long Term Contract
Must haves:
- Recommendation Systems/ Ranking Systems
- Neural networks
- Deep Learning
- GRAPH
- DeepFM
- Matrix factorization
Requirements:
- 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.
- Proven track record building personalization or recommendation models that measurably improved engagement or marketing performance.
- Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
- Strong understanding of algorithms like matrix factorization, neural networks, and ranking systems.
- Strong understanding of LTMs and agentic AI frameworks that can be customized for recommender systems
- Experience working with consumer/marketing data, including behavioral, transactional, and campaign data (familiarity with CDPs, marketing analytics, or A/B testing is a plus).
- Experience with Databricks and AWS.
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