Machine Learning Scientist

Summary

Join Qloo, a company leveraging AI to understand consumer preferences, and be instrumental in driving the next stage of growth following Series C funding. As an ML Scientist, you will develop and implement cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams on various projects, from data exploration and model development to deployment and monitoring. This high-impact role directly shapes the future of Qloo's ML/AI capabilities. The company fosters an exceptional workplace with a focus on collaboration, autonomy, and professional growth. Qloo offers competitive compensation and benefits, including health insurance, 401k matching, paid time off, parental leave, and professional development opportunities.

Requirements

• Have 1+ years in a Machine Learning or ML Engineering role, with hands-on experience in deep learning frameworks (e.g., TensorFlow, PyTorch)
• Have a degree in Mathematics, Engineering, Statistics, Computer Science, Physics, or a related field
• Be proficient in Python and PySpark; have experience with SQL or similar querying languages
• Have a solid foundation in machine learning principles, including model evaluation, optimization, and deployment best practices
• Be self-motivated, collaborative, and adaptable, with a "can-do" attitude and comfort in a fast-paced, often ambiguous environment
• Have excellent communication and interpersonal skills, capable of bridging technical work with business applications
• Have experience with model monitoring frameworks and A/B testing
• Have familiarity with cloud environments (e.g., AWS, Google Cloud) and deployment of ML models at scale
• Have exposure to startup or high-growth company environments

Responsibilities

• Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production
• Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models
• Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance
• Work closely with software engineers, data engineers, and other teams to integrate ML models into production systems, aligning with business requirements
• Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines
• Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions
• Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques

Preferred Qualifications

Have an advanced degree

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