Senior Machine Learning Engineer

at  VerticalScope Inc

WHO WE ARE

Fora is one of the world’s largest community networks with over 1,000 online communities and the tech platform that powers them. Fora’s mission is to enable enthusiasts to share expertise and discover products for their interests. Our 70 million plus monthly active users make informed shopping decisions in automotive, health, home, powersports, outdoor, and technology on sites like ArcheryTalk, AVS Forum, BimmerFest, Knitting Paradise, and WatchUSeek. Fora is a business division of VerticalScope Holdings Inc., a publicly-traded company listed on the Toronto Stock Exchange (TSE: FORA). Fora has over 50 employees in the US and Canada with diverse backgrounds from startups and big tech. If you thrive in an environment that celebrates authenticity, scrappiness, and curiosity, Fora is the place for you.

THE ROLE

At Fora, we are reimagining the future of online communities and are looking for a Senior Machine Learning Engineer to help us do just that. As Senior ML Engineer, you will collaborate with other Engineers, Data Analyst, Product Managers on the shared objective of helping users share and discover valuable knowledge about their hobbies, interests, and pastimes. Our team strikes a healthy balance between rapid experimentation to test new user experiences and well-architected, robust, scalable pipeline development to continuously analyze large volumes of data. This is an exciting opportunity to join a mission-focused public company with a startup mentality.

WHAT YOU’LL DO

• Train, tune, deploy, and maintain production models and algorithms to analyze millions of forum discussions using a variety of modeling techniques.
• Work with large-scale, high-volume heterogeneous data using distributed systems.
• Design, build, and deploy batch and streaming data pipelines.
• Design and maintain robust data models, data storage, retrieval, caching, and optimization techniques.
• Transform requirements into engineering designs and eventually scalable solutions.
• Work and communicate asynchronously with distributed teams.
• Other related responsibilities and ad hoc projects as negotiated and needed to meet the ongoing needs of the company