Staff Machine Learning Engineer - Applied ML & Research
Super.com(7 months ago)
About this role
A Staff Machine Learning Engineer on the Applied ML & Research team will lead the development of advanced ML solutions that power features across the company’s online gaming platforms. The role focuses on shaping ML strategy, delivering production-grade models, and influencing cross-functional stakeholders to drive business impact at scale. The position contributes to platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users.
Required Skills
- Python
- PyTorch
- XGBoost
- Scikit-Learn
- SQL
- Airflow
- SageMaker
- LLMs
- Feature Engineering
- Model Deployment
+3 more
Qualifications
- Master's Degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or related field
About Super.com
super.comSuper (super.com) is a consumer commerce and savings platform that helps people find discounted travel, retail deals, and financial-product offers through price comparisons, cashback, and curated promotions. It combines automated deal‑sourcing, real‑time pricing and personalized recommendations delivered via web and mobile to simplify shopping and booking. Super partners with merchants and travel providers to surface exclusive discounts and monetizes through referral and affiliate relationships, positioning itself as a one‑stop destination for finding lower prices.
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