Principal Engineer, Search & Recommendations

ViSenze is the world's smartest product discovery platform that allows retailers to increase revenue, save time and improve product performance. To further drive upon our success, we are looking for a dynamic, innovative Principal Engineer, Search & Recommendations.

Using ViSenze’s proprietary AI solutions, you will be building the next-gen multimodal vector search engine to enhance our Retail AI platform features. You will be working with an energetic group of ViSenze’s software engineers, AI and data scientists, and product managers who are excited to be building products that will help shape the future of retail.

Our Engineering Team is responsible for building a hyperscale multimodal search engine which can provide our users with the best search experience whether searching by image, natural language or both. At Visenze, you’ll have the opportunity to build an industry leading SaaS search engine serving some of the world’s leading marketplaces and top brands using leading edge AI and machine learning methods in computer vision, NLP, and recommender systems.

Responsibilities

Your main role is to help design and implement a multi-cloud SaaS solution to support global digital businesses with a multi-modal vector search and recommendation platform. Your work areas will include:

• Developing context aware conversational search and recommendation strategies
• Optimizing recommender system performance and model integration
• Distributed query processing
• No downtime vertical and horizontal scaling
• Autoscaling clusters for better resource utilization and cost engineering
• Improved isolation of workloads on multi-tenant architectures
• Cloud agnostic high availability architecture
• Automated testing and deployment pipelines
• Highly observable and measured platform performance
• Provide guidance and mentorship to teammates

Requirements

• Bachelor or advanced degree in computer science or a related technical discipline
• 5+ years of solid related industry experience in Search, Recommendation, or Ads
• Proficient coding skills and strong algorithm & data structure basis
• Machine learning experience in one or more of the following areas: NLP, Ranking, Ads, Search, or Recommendations.
• Effective communication and teamwork skills.

Bonus Points

• Experience with ML model deployment automation is a strong plus
• Experience with Deep Learning techniques and frameworks
• Experience with multiple public clouds AWS, GCP, Azure, preferably including AWS

*For remote candidates, you will be required to work 50% at HQ (Singapore) time zone capacity

About Visenze

ViSenze is the world's smartest product discovery platform. Retailers like ASOS, H&M, Rakuten, Zalora, Meesho, DFS, and EyeBuyDirect trust ViSenze to power their product discovery. ViSenze processes over a billion queries a month from retailers, supporting them in-store and on ecommerce sites.

Our use cases range from visual search, product tagging, smart recommendations and merchandising analytics. ViSenze’s automated AI platform empowers retail merchants to increase revenue by delivering exceptional experiences that make it easier for shoppers to discover products.

• Gartner Hype Cycle for Retail Technologies 2021
• CB Insights Retail Technology 100
• Top AI Companies 2022
• Leading Product Recommendation Vendor 2022

To learn why the world’s leading brands trust ViSenze, visit http://www.visenze.com

Diversity and Equal Opportunity

ViSenze is committed to the goal of equality of opportunity in employment and strives to create an operating environment that promotes fairness, equality and respect for social and cultural diversity, which is free from unlawful discrimination, harassment and vilification.

The Company shall not take any disadvantageous measures against any Employee or prospective Employee with regards to wage, education, assignments, promotions, retirement age, separation or dismissal, on the basis of gender.