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Data Scientist at Glint Tech Solutions LLC
1 month ago
About the Job
Develop Innovative Solutions with Our Brand Ads Team
Glint Tech Solutions LLC is seeking a highly skilled Senior Machine Learning Engineer to join our Brand Ads Team. As a member of this team, you will have the opportunity to develop advanced technologies that empower businesses to unlock growth opportunities.
Key Responsibilities:
- Design and develop innovative monetization products that drive user engagement and increase revenue.
- Contribute to the development and scaling of large-scale ad systems.
- Collaborate on ad algorithm development, leveraging machine learning to enhance ad effectiveness.
- Apply NLP and computer vision techniques to advance content understanding and taxonomy classification.
- Support the rapid growth of our team with high-quality, efficient code and solutions.
Requirements:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, with 3+ years of relevant experience.
- Proficiency in programming, debugging, and optimizing in languages such as Go, C/C++, or Python.
- Strong critical thinking skills and the ability to devise clear, effective solutions to complex problems.
- Professional experience in machine learning, data mining, data analysis, or distributed systems.
- In-depth knowledge in at least one of the following areas: brand ads, content ads, auction mechanisms, bidding strategies, ranking systems, or ad forecasting.
- Hands-on experience with one or more of the following: machine learning, deep learning, NLP, recommendation engines, backend systems, or large-scale data platforms.
- Strong product sense, with a track record of designing and implementing product-focused features.
About Glint Tech Solutions LLC
We are a fast-moving, high-impact company that empowers businesses to unlock growth opportunities through advanced technologies. Our Brand Ads Team is dedicated to developing innovative solutions that drive user engagement and increase revenue. If you are a skilled and motivated professional looking for a challenging and rewarding opportunity, we encourage you to apply for this position.
