Senior Machine Learning Scientist

Summary

Join Qloo, a company utilizing cutting-edge Taste AI™ technology to analyze consumer preferences and help brands connect with their ideal customers. This ML Scientist role is crucial for driving the company's growth following Series C funding. You will develop and implement machine learning models, collaborate with cross-functional teams, and work on various projects from data exploration to model deployment and monitoring. The position requires 3+ years of experience in machine learning or ML engineering, a related degree, proficiency in Python and PySpark, and excellent communication skills. Qloo offers a supportive and inclusive work environment with benefits such as excellent health insurance, 401k matching, paid time off, parental leave, and professional development opportunities.

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
• 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

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
• Present findings to stakeholders (both technical and non-technical) and contribute to the development of best practices
• Mentor junior team members and foster a collaborative team environment
• Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques

Preferred Qualifications

An advanced degree is highly preferred

Benefits

• 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
• Potential equity package