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Senior Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

marlabs • United State
Visa Sponsorship Relocation
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Build and optimize advanced recommendation systems for consumer marketing, driving customer engagement and revenue growth. Design scalable ML models for personalization, next-best-action, and audience targeting using deep learning and hybrid approaches. Collaborate cross-functionally to integrate models into production pipelines and improve marketing performance metrics.

Key Highlights
5+ years in recommendation systems, preferably in consumer marketing/retail/e-commerce
Expertise in deep learning, collaborative filtering, and ranking systems for real-time personalization
Proven impact on engagement/conversion via data-driven recommendation models
Key Responsibilities
Design and implement recommendation models (collaborative filtering, deep learning, hybrid approaches) for consumer marketing use cases
Optimize models for scalability, performance, and real-time predictions on large-scale consumer datasets
Collaborate with business/marketing teams to integrate models into production and campaign pipelines
Analyze and improve recommendation quality using metrics like precision, recall, CTR, conversion, and CLV
Experiment with cutting-edge techniques (reinforcement learning, graph neural networks, contextual bandits)
Technical Skills Required
Python Machine Learning Frameworks (TensorFlow/PyTorch) Recommendation Systems Algorithms
Benefits & Perks
Visa sponsorship (H1B transfer)
Relocation assistance for non-local candidates
Nice to Have
Experience with Databricks and AWS
Familiarity with CDPs, marketing analytics, or A/B testing
Understanding of LTMs and agentic AI frameworks for recommender systems

Job Description

Must Have: Retail Advertising & Recommendation Systems experience

We can consider non local candidates who can relocate. H1B transfer also fine who are willing to come to our payroll.

Position Summary:

Machine Learning Engineer – Recommendation Systems (Consumer Marketing)

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