Machine Learning Engineer, Qloo
$110-180k
AI-powered recommendation API
Open for applications
AI-powered recommendation API
21-100 employees
Open for applications
$110-180k
21-100 employees
Company mission
To understand culture and taste on a global basis.
Role
Who you are
- 3+ years of experience in Machine Learning Engineering
- A degree in Mathematics, Engineering, Statistics, Computer Science, or Physics. Advanced degree preferred but not required
- Excellent communication, collaboration skills, and ability to dive into the weeds
- Strong Python, SQL, and/or PySpark skills
- Ability to work independently and manage multiple projects simultaneously
- Knowledge and experience with statistical modeling, especially in its application for ML modeling
- A “can-do” self-starter mentality with the ability to roll-up your sleeves, and thrive in a fast-paced, ambiguous start-up culture
What the job involves
- Reporting directly to the VP of Applied ML, you’ll be an integral part of the Applied Machine Learning (ML) team within the broader AI division
- This team sits at the intersection of cutting-edge machine learning and business impact, collaborating closely with the Research & Development side of the AI team, the Data Engineering team, as well as cross-functional stakeholders like Product and Sales
- Together, this collaborative environment drives the implementation and scaling of machine learning models to solve real-world problems
- You’ll be focused on developing and maintaining models that directly support customer experiences and business goals, and you’ll regularly work across these teams to align the technical aspects of the models with the company’s strategic vision
- In this role, you will be responsible for maintaining existing data pipelines and continuously improving the end-to-end modeling process
- A key focus will be enhancing and evolving our Geospatial and Taste Analysis models—two cornerstones of the company’s machine learning offerings
- The Geospatial models are designed to predict entity affinities within specific regions, while the Taste Analysis models use advanced recommendation techniques to map customer preferences
- This position offers an exciting opportunity to take on significant responsibilities, with limited oversight, allowing you to make a major impact on the future of the product
- Taking ownership of coding and documentation efforts, ensuring best practices and scalability
- Working on key models such as the Geospatial and Taste Analysis models, driving innovation and optimization
- Leading the design, rebuild, and improvement of key machine learning pipelines with minimal oversight
- Operating as a self-motivator who thrives in a collaborative environment, where their contributions can drive significant business impact
Our take
Powered by artificial intelligence, Qloo is aiming to understanding taste and cultural correlations. While giants like Spotify, Expedia and Netflix dominate their sectors, they inadvertently create "data silos", where valuable information remains isolated. A unified system, however, could help understand and predict diverse personal tastes across various domains.
To confront this, Qloo provides companies with AI-generated correlation data spanning numerous cultural and entertainment domains. Leveraging its platform, a user's taste in one category or genre can seamlessly inform recommendations in another, leading to more personalized experiences. For example, Starbucks is using Qloo to create in-store music playlists tailored to specific neighborhoods, enhancing customer engagement.
With an influx in funding over 2023 and 2024, Qloo plans to introduce an accessible self-service interface, aiding small and mid-sized enterprises in charting consumer and taste analytics. Additionally, it has introduced the "multi-person recommendation AI", capable of matching profiles based on individual preferences stored in its database, which further solidifies its position as a leader in personalized recommendation solutions.
Steph
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
Company
Company benefits
- Health insurance, retirement plan, and paid time off
- Opportunities for professional development and growth
- A collaborative and supportive work environment where your ideas are valued and your contributions recognized
- Flexible work arrangements - we encouraging employees to maintain a well-rounded lifestyle
Company values
- Teamwork
- Open communication
- Mutual respect
Company HQ
Bowery, New York, NY
Articles
Leadership
Alex Elias
(CEO)Previously served as a Principal at APE Capital for 4 years before founding Qloo in 2012.
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