Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
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The role requires skills in developing, testing, deploying, and maintaining machine learning models; data preprocessing, feature engineering, and exploratory analysis; designing scalable ML pipelines; cross-functional collaboration; and model performance monitoring and improvement.
Qloo fosters a culture of curiosity, autonomy, ownership, collaboration, and diverse perspectives, with a highly collaborative and supportive team environment where members assist each other and everyone feels valued. They support professional growth, flexibility, inclusivity, and regular team activities.
You'll report to the Director of AI in a high-impact role shaping ML/AI capabilities, working with a team that values exploration, continuous learning, innovation, and proactive problem-solving.
A strong candidate is highly motivated, skilled in ML, a proactive problem-solver with a passion for machine learning, and thrives in collaborative environments tackling tough challenges.
AI-driven consumer preference prediction platform
Qloo offers a "Cultural AI" that predicts global consumer preferences and provides contextualized personalization and insights based on a deep understanding of consumer behavior and over 575 million cultural entities. Their privacy-first API and cutting-edge machine learning processes empower companies to uncover connections behind people’s taste in various cultural domains such as music, film, fashion, and dining.