Machine Learning Scientist

March 28

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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

• At Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. • Our cutting-edge Taste AI™ technology analyzes vast amounts of data—over half a billion records spanning public figures, places, and cultural entities—to uncover deep insights into what people love. • We do it without relying on personally identifiable information. • Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information. • Following our Series C funding, we’re growing our team to expand our reach and continue redefining what’s possible with Taste AI. • This role will be instrumental in driving that next stage of growth. • Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. • If you're a proactive problem-solver with a passion for machine learning, we'd love to meet you. • 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

• 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch). Motivated recent graduates are encouraged to apply! • 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