Harnham
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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
Responsibilities:
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
Qualifications:
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
Summary: 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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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
Responsibilities:
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
Qualifications:
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
Summary: 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
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr