Senior Machine Learning Scientist

November 27, 2024

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Qloo

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Qloo is a company that specializes in consumer intelligence using artificial intelligence and advanced analytics. With a comprehensive database of consumer preferences and lifestyle entities, Qloo offers insights and personalized recommendations that respect user privacy. Their technology is used for personalized marketing, audience analysis, and enhancing AI models to ensure outputs are relevant and tailored to consumer tastes. This data-driven approach empowers organizations to better understand their audiences and develop targeted marketing strategies and personalized experiences.

Artificial Intelligence • Personalization • API • Insights

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $15M Series B on 2022-08

📋 Description

• The Company You’ll Join • At Qloo, our cutting-edge Taste AI technology leverages extraordinary amounts of data—over half a billion records of public figures, places, and things, plus a globe-spanning consumer behavior and sentiment database—to unearth deep insights about consumer preferences. • And the best part? Qloo's API suite is powered by cultural entities, not personal identities, ensuring our insights are derived without relying on personally identifiable information. • The team you’ll work with: • Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. • The impact you’ll have: • As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions.

🎯 Requirements

• 3+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). • A degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field. An advanced degree is highly preferred. • Proficient in Python and PySpark; experience with SQL or similar querying languages. Solid foundation in machine learning principles, including model evaluation, optimization, and deployment best practices. • Self-motivated, collaborative, and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment. • Excellent communication and interpersonal skills, capable of bridging technical work with business applications. • Experience with model monitoring frameworks and A/B testing. • Familiarity with cloud environments (e.g., AWS, Google Cloud) and deployment of ML models at scale. • Exposure to startup or high-growth company environments.

🏖️ Benefits

• Potential equity package • Excellent health insurance coverage, with ability to join group dental and vision for a nominal fee • 4% 401K matching • 20 paid time off days • 5 paid sick days • 12 weeks of paid parental leave • 10+ annual company holidays • Opportunities for professional development and growth within a dynamic environment • A supportive and inclusive company ethos where your ideas are valued, your contributions are recognized, and your impact is tangible • The chance to be part of a small but mighty team that's making waves in the industry and shaping the future of technology • Beautiful HQ in Soho, NYC with the opportunity to work in-office, if desired