
Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.

Jobright is your personal AI job search co-pilot that transform the way you do job search from solo, time-consuming efforts to a co-piloted journey with a seasoned AI career assistant at the helm, simplifying every job search step and accelerating your route to the best job outcomes.
What they do: AI-native job platform offering a proactive "career agent" that finds, customizes, and can submit applications for job seekers
Founded / HQ: Founded 2023; headquartered in Santa Clara, California
Recent funding: Seed round $3.2M announced June 24, 2025 led by Translink Capital
Traction: Reported user base of ~520,000 (company blog)
Job search efficiency and application automation for job seekers (including international applicants).
2023
Software Development
$3.2M
Participation reported from HR Tech Investments
Verified Job On Employer Career Site
Job Summary:
Qloo develops an AI-based cultural platform to predict consumer taste data and recommendations for companies in various sectors. As an ML Scientist, you will be instrumental in developing and implementing machine learning models and solutions, collaborating with cross-functional teams to drive innovation and optimize AI capabilities.
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.
Qualifications:
Required:
• 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.
• 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.
Preferred:
• An advanced degree is highly preferred.
• 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.
Company:
Qloo develops an AI-based cultural platform to predict consumer taste data and recommendations for companies in various sectors. Founded in 2012, the company is headquartered in New York, New York, USA, with a team of 11-50 employees. The company is currently Growth Stage. Qloo has a track record of offering H1B sponsorships.