Senior Machine Learning Scientist at Qloo

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Qloo

Senior Machine Learning Scientist

Remote

Full Time

#Engineering

#Machine Learning

#Deep Learning

#Python

#Pyspark

#SQL

Qloo is looking for a Senior Machine Learning Scientist

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At Qloo, we are dedicated to decoding consumer preferences through our proprietary Taste AI technology. By analyzing over half a billion records related to cultural entities, places, and public figures, we provide brands with actionable insights without ever relying on personally identifiable information. Following our recent Series C funding, we are looking for a Senior Machine Learning Scientist to join our remote team and help us expand the boundaries of what our AI can achieve. You will be joining a collaborative, high-impact environment where curiosity is celebrated and every team member plays a vital role in our growth.

What you'll be doing

  • You will design, develop, and deploy scalable machine learning models and algorithms, ensuring they remain robust and performant in a production environment.
  • You will lead data preprocessing, feature engineering, and exploratory analysis to continuously optimize our AI systems.
  • You will collaborate across teams to integrate your models into our core infrastructure while implementing real-time monitoring tools to drive ongoing performance improvements.

What you'll bring

To thrive in this role, you should have a strong foundation in data science and a proactive approach to problem-solving. We are looking for the following qualifications:

  • At least 3 years of experience in a machine learning or ML engineering role, specifically with hands-on work in deep learning frameworks like PyTorch or TensorFlow.
  • A degree in a quantitative field such as Mathematics, Computer Science, Engineering, Physics, or Statistics, with an advanced degree being highly preferred.
  • Strong technical proficiency in Python and PySpark, along with experience using SQL for data querying.
  • A solid understanding of model evaluation, deployment best practices, and A/B testing.
  • Experience working within cloud environments to deploy models at scale.
  • Excellent communication skills and the ability to translate complex technical findings for various stakeholders.
  • Comfort working in a fast-paced, high-growth environment where you can take ownership of your projects.

What you'll get

We believe in supporting our team members both professionally and personally. As part of our commitment to you, we provide:

  • Equity compensation packages.
  • Comprehensive medical insurance, plus the option to join dental and vision plans.
  • A 401k plan with 4% matching.
  • Generous time off, including 20 days of paid time off, 5 paid sick days, and 10+ annual company holidays.
  • 12 weeks of paid parental leave.
  • Dedicated support for your professional development and career growth.
  • The flexibility of a remote work environment, with the option to visit our beautiful Soho office if you choose.
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