Job summary
Job post source
This job is directly from Qloo
Job overview
The Senior Machine Learning Scientist at Qloo will develop and implement advanced machine learning models to enhance the company's AI capabilities, directly impacting personalization technology for clients.
Responsibilities and impact
The role involves developing, testing, deploying, and maintaining scalable ML models, conducting data preprocessing and feature engineering, building ML pipelines, collaborating with cross-functional teams, monitoring model performance, innovating with new ML techniques, and mentoring junior team members.
Compensation and benefits
The position offers potential equity, excellent health insurance with optional dental and vision, 4% 401K matching, paid time off including sick days and parental leave, company holidays, and professional development opportunities.
Experience and skills
Candidates should have 3+ years in ML or ML engineering with deep learning frameworks experience, a relevant degree (advanced preferred), proficiency in Python, PySpark, SQL, strong ML principles knowledge, communication skills, experience with model monitoring, cloud environments, and startup exposure.
Career development
Qloo provides opportunities for professional growth within a dynamic environment and supports continuous learning and innovation.
Work environment and culture
Qloo values curiosity, autonomy, collaboration, diversity, and a supportive, inclusive workplace with flexible work options and a small, impactful team culture.
Company information
Qloo specializes in AI-driven consumer preference insights using anonymized data, recently secured Series C funding, and focuses on privacy and innovative Taste AI technology.
Team overview
The candidate will report to the Director of AI and join a small, collaborative team that values exploration, continuous learning, and innovation.
Job location and travel
The job is based at Qloo's beautiful HQ in Soho, NYC, with optional in-office work.
Unique job features
The role offers unique opportunities to work on cutting-edge AI personalization technology, with a strong emphasis on privacy and data ethics, within a high-growth startup environment.
Company overview
Qloo is a data analytics company that specializes in providing AI-driven cultural and consumer insights. They leverage machine learning algorithms to analyze vast amounts of data from various sources, including social media, streaming services, and consumer behavior, to predict preferences and trends across multiple domains such as entertainment, fashion, dining, and travel. Founded in 2012, Qloo has positioned itself as a leader in cultural intelligence, helping businesses make informed decisions by understanding their audience's tastes and preferences. The company generates revenue through subscription-based services and partnerships with brands seeking to enhance their marketing strategies and product offerings.
How to land this job
Position your resume to highlight your 3+ years of hands-on experience in machine learning and deep learning frameworks like TensorFlow or PyTorch, emphasizing your skills in model development, deployment, and monitoring within production environments.
Showcase your proficiency in Python, PySpark, SQL, and cloud platforms such as AWS or Google Cloud, focusing on your ability to build scalable ML pipelines and optimize model performance through feature engineering and A/B testing.
Apply through multiple channels including Qloo’s corporate careers page and LinkedIn to maximize your application visibility and ensure it reaches the right hiring managers.
Connect with current Qloo AI or ML team members on LinkedIn, using ice breakers like commenting on their recent AI projects or expressing enthusiasm about Qloo’s Taste AI technology and its privacy-first approach.
Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning models,' 'deep learning,' 'model deployment,' 'feature engineering,' and 'cloud environments' to improve your chances of passing automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify multiple application portals, and discover relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and refining your skills.
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