Head of Engineering, Machine Learning

We are a Silicon Valley firm that brings businesses the first open and intelligent Digital Experience Platform (DXP). We drive customer experience to accelerate the path to conversion, increase revenue, and generate customer loyalty. 

With applications for content management, site search, page management, SEO optimization and role­based analytics, we are a central location for all players who manage customer experience to come together and intelligently drive business outcomes. Our Web Relevance Engine (WRE) algorithmically understands content and users, matching demand and intent data from across the web. We are a Leader in the Gartner Magic Quadrant for WCM, with tools to unlock the powerful creativity of humans to improve omnichannel customer experiences at scale. Together, human and machine generate millions of dollars of proven incremental sales. 

Our portfolio of customers include: Neiman Marcus, Staples, Mailchimp, and Air Miles. Created in 2009, we are headquartered in Mountain View, CA with offices worldwide and is backed by investment firms Bain Capital Ventures, Battery Ventures, NEA, Salesforce Ventures, and Lightspeed Ventures. 

Team

The team is solving one of the digital worlds most fundamental problems: Helping people instantly find what they need when they need to find it. Our digital experience platform relies on unique algorithms paired with machine learning and data science to create digital experiences that accelerate the path to conversion, increase revenue, and generate customer loyalty. 

The team is responsible for the data science modules that power all the products of the company, including Analytics, Search Relevance, User Personalization, Recommendation and Content Intelligence. This team invents and applies machine learning, data mining, and informational retrieval algorithms to understand, identify, and improve web content discovery. The enormous amounts of data generated by users is an advantage as well as a challenge with us. We process data from 100s of customers, generating about 500 million customer interactions per day that drive billions of dollars of revenue. We have built industry leading algorithms in search/recommendations for commerce space that serve the most relevant experiences using Artificial Intelligence. We dont settle on our laurels and we want to make further improvements while also taking on the challenge of building AI driven experiences beyond commerce.

Role

We are looking for a hands on Engineering Leader to spearhead the Data Science and Machine learning charter. This person would be leading the design and implementation of core algorithmic components for search , recommendation and user understanding that are used to personalize the digital experiences for our customers. 

Responsibilities

• Translate business requirements to machine learning solutions
• Lead development and implementation of scalable algorithmic solutions for search, recommendation and user understanding
• Set clear KPIs that measure the efficacy of various algorithms
• Ensure advanced agile standards are maintained in research, development, QA, and implementation phases
• Ensure excellence in delivery to internal and external customers
• Build deep partnerships with business, product management, and technology leaders
• Lead, hire, manage and mentor a global team of engineers
• Contribute to our Intellectual Property through patents and/or external publications.

Required Skills & Experience

• Masters Degree in Computer Science, Applied Mathematics, Linguistics or related discipline (PhD preferred).
• 10+ Years of strong working knowledge of Machine-learning algorithm development with Python, Java, and/or Scala
• 4+ Years of experience in scaling and managing teams. Managing distributed teams is a plus
• Proven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniques
• Experience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR

Best Regards,
Kris
Kris Young
Account Manager
BHO Tech
San Jose, San Francisco CA
Phone: 866 816-1615 x 823
kris@bhotech.com
www.bhotech.com