Senior Machine Learning Scientist @ Qloo | Jobright.ai
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Qloo · 9 hours ago

Senior Machine Learning Scientist

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Artificial Intelligence (AI)Consumer Research

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningDeep LearningPythonModel DeploymentTensorFlowPyTorchPySparkSQLModel EvaluationModel OptimizationModel MonitoringA/B TestingAWSGoogle CloudData AnalysisFeature EngineeringStartup Experience

Required

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

Company

Qloo

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Qloo develops an AI-based cultural platform to predict consumer taste data and recommendations for companies in various sectors.

Funding

Current Stage
Growth Stage
Total Funding
$77M
Key Investors
Bluestone Equity PartnersAI VenturesAXA Venture Partners
2024-07-02Private Equity· $20M
2024-02-21Series C· $25M
2022-08-23Series B· $15M

Leadership Team

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Alex Elias
Founder and CEO
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Jay Alger
Co-Founder and Chief Operating Officer
Company data provided by crunchbase
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