Machine Learning Engineer, Qloo
$110-180k
AI-powered recommendation API
Job no longer available
AI-powered recommendation API
21-100 employees
Job no longer available
$110-180k
21-100 employees
Company mission
To demystify the intricacies of global tastes and preferences.
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 AI, Qloo is aiming to understand 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 is now introducing 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
Company
Company benefits
- Champion your health: We offer 100% health insurance coverage, with the ability to join group dental and vision for a nominal fee.
- Invest in your future: Qloo’s competitive 4% 401K matching program helps you build a financial foundation for the years ahead.
- Generous PTO: With 20 days of PTO and 10+ annual company holidays, we encourage taking time to rest and investing in your life outside of work.
- Thrive in Soho: Our sun-lit, spacious office in Soho boasts standing desks, team lunches every Thursday, monthly outings, and a tight-knit community of hard workers.
- Parental Leave: Whether you’re welcoming a child through birth or adoption, Qloo supports all new parents with three months of paid parental leave.
- Ownership Mentality: We provide stock options to all positions, ensuring that everyone, regardless of level, has a stake in our success and shares in our achievements.
Company HQ
SoHo, New York, NY
Leadership
Alex Elias
(Founder & CEO)Previously served as a Principal at APE Capital for 4 years before founding Qloo in 2012.
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