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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
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Binance | Asia |
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Binance | Brisbane, Australia |
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Binance | Bangkok, Thailand |
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Binance | Taipei, Taiwan |
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Genies, Inc. | San Mateo, CA, United States | $112k - $120k |
Senior Data Scientist (Content Understanding, NLP)
Asia / Taiwan, Taipei / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Hong Kong / UAE, Dubai
Engineering – Data Science/AI /
Full-time: Remote /
Hybrid
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Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
We are looking for a Data Scientist expert to drive advancements in natural language processing and computer vision. You’ll work across content understanding scenarios such as classification, entity recognition, sentiment analysis, and image/video understanding, and help build large-scale systems that power content moderation, recommendation, and search.
Responsibilites
- Develop and optimize NLP/CV algorithms to improve the performance and efficiency of content understanding pipelines.
- Build scalable models (e.g., BERT, GPT, ViT, CLIP) and bring them into production.
- Partner with product and data teams to diagnose business challenges and design data-driven solutions.
- Track cutting-edge research and explore novel algorithms for real-world applications in content understanding.
- Drive system improvements that enhance moderation, recommendation and search workflow
Requirements
- Master’s Degree or above in Computer Science, AI, EE, Mathematics, or related fields.
- Strong programming skills in Python or C++ and familiarity with deep learning frameworks such as PyTorch.
- Solid foundation in machine learning/deep learning and hands-on experience with common models in NLP and/or CV.
- Experience working with large-scale data processing frameworks (Hadoop/Spark/Flink is a plus).
- 2+ years of algorithm/model development experience.
- Background in content safety, recommendation or search systems is highly valued.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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What does NLP Engineer do?
A Natural Language Processing (NLP) Engineer is a professional who designs and develops software systems that can understand and generate human language
They typically work with machine learning and artificial intelligence (AI) technologies to create NLP solutions for various applications, including chatbots, virtual assistants, search engines, sentiment analysis, and language translation
NLP engineers play a critical role in developing software systems that can understand and generate human language, enabling us to interact with technology in more natural and intuitive ways
The role of an NLP Engineer includes:
- Data preprocessing: NLP engineers are responsible for cleaning, normalizing, and transforming raw text data into a format that can be used by machine learning algorithms.
- Feature engineering: NLP engineers design and develop features that are relevant to the NLP problem they are trying to solve. They extract features such as word frequency, part-of-speech tagging, and sentiment analysis.
- Building machine learning models: NLP engineers use machine learning algorithms such as deep learning, neural networks, and decision trees to train models that can understand and generate human language.
- Evaluating and improving models: NLP engineers evaluate the performance of their models using various metrics such as accuracy, recall, and F1 score. They also use techniques such as cross-validation and hyperparameter tuning to improve model performance.
- Integration: NLP engineers integrate their NLP solutions into larger software systems or platforms, such as chatbots or virtual assistants.