Job Details

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Harnham provided pay range

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $200,000.00/yr

Additional compensation types

Sign-on bonus and RSUs

Direct message the job poster from Harnham

• Designing and deploying advanced feed personalization algorithms and product recommendation systems
• Building scalable user behavior modeling solutions using convolutional neural networks and transformers
• Leading development of CV-based transformer models for enhanced product discovery
• Owning the complete ML lifecycle from data exploration through model deployment and maintenance
• Architecting scalable data platforms that support real-time personalization at scale

• 3+ years of hands-on experience in data science and machine learning
• Deep expertise in personalization systems, specifically feed personalization and recommendation engines
• Proven experience with user behavior modeling and customer analytics
• Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
• Advanced skills in Python, SQL, Spark, Scala, and PySpark
• Extensive experience with PyTorch and TensorFlow frameworks
• Track record of deploying ML models in production environments at scale
• Experience building recommendation systems for e-commerce or retail platforms
• Background in computer vision applications for product discovery
• Knowledge of real-time ML serving infrastructure and MLOps practices
• Strong understanding of A/B testing and experimentation frameworks

Join a dynamic team that's transforming how customers discover and engage with products. You'll work with state-of-the-art ML technologies while seeing direct impact on user experience and business metrics. The role offers significant technical ownership and the chance to shape the future of personalization technology.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Other; Industries: Retail and Retail Apparel and Fashion

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