The Company You’ll Join
At Qloo, we believe that understanding consumer preferences is the key to creating meaningful experiences. Our cutting-edge Taste AI technology analyzes vast amounts of data—over half a billion records spanning public figures, places, and cultural entities—to uncover deep insights into what people love. To brands connect with their ideal customers, Qloo sifts through the noise to reveal the signals that matter.
And we do itwithout relying on personally identifiable information. Qloo is committed to privacy, ensuring that our insights are derived solely from anonymized cultural and behavioral data, never personally identifiable information.
Following our Series C funding, we’re growing our team to expand our reach and continue redefining what’s possible with Taste AI. This role will be instrumental in driving that next stage of growth.
What it’s like to work at Qloo
At Qloo, we’re building AI solutions that power personalization for some of the world’s greatest companies, but we’re just as committed to fostering an exceptional workplace. Here, curiosity is key. We thrive on tackling tough challenges, continuously pushing the boundaries of what’s possible.
We value autonomy and ownership, empowering team members to take initiative and drive impact. Our team is small but mighty, meaning every role here matters. Collaboration is at our core, and we believe that diverse perspectives make for better solutions. We also know that great work comes from people who feel supported—whether that’s through professional growth opportunities, a flexible and inclusive environment, or simply sharing ideas over our Thursday team lunches in Soho.
But don’t just take our word for it: “The team culture at Qloo is highly collaborative and supportive, with a strong emphasis on mutual assistance. Each team member is approachable and committed to lending a hand, creating an environment where everyone feels supported and valued.” – Sreekant, VP of API Engineering
The team you’ll work with:
Reporting to the Director of AI, this is a high-impact role where your expertise will directly shape the future of our ML/AI capabilities. Our team values exploration and continuous learning, encouraging you to drive meaningful innovation and take on exciting challenges. If you're a proactive problem-solver with a passion for machine learning, we'd love to meet you.
The impact you’ll have:
As an ML Scientist at Qloo, you will play a crucial role in developing and implementing cutting-edge machine learning models and data-driven solutions. You will collaborate with cross-functional teams and work on a diverse range of projects, from data exploration and model development to the deployment and monitoring of machine learning systems.
You'll immediately provide value by:
- Model Development & Deployment:Develop, test, deploy, and maintain machine learning models and algorithms, ensuring their scalability, robustness, and performance in production.
- Data Analysis & Optimization:Conduct data preprocessing, feature engineering, and exploratory analysis to optimize AI/ML models.
- Pipeline Development & Enhancement:Design, build, and enhance efficient machine learning pipelines, ensuring their scalability and performance.
- Collaboration & Cross-functional Integration:Work closely with software engineers, data engineers, and other teams to integrate ML models into production systems, aligning with business requirements.
- Model Performance Monitoring & Improvement:Implement tools for real-time model monitoring, evaluate performance, and drive continuous improvements to models and pipelines.
- Experimentation & Innovation:Explore emerging ML techniques, deep learning methods, and advanced algorithms to enhance model capabilities and introduce new solutions.
- Continuous Learning:Stay current with industry trends and emerging technologies in data science and machine learning to identify new opportunities and techniques.
To be a successful match you must have:
- 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. 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.
What we offer:
- 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
$120,000 - $150,000 a year
We are open to candidates with different backgrounds and levels of experience. Compensation will be commensurate with experience, and equity may be included in the total package depending on role and level.
Join us
At Qloo, we’re building the future of consumer intelligence. If you’re excited about AI, passionate about helping businesses understand their audiences, and ready to make an impact, we’d love to hear from you.
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