Remote Jobs

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Data Scientist (NLP)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (NLP) position at Binance, utilizing internal data to train models and develop applications for business decision-making.

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Policy and Licensing Advisor

Bitfinex

Location
Viet Nam
Posted
Salary Range
80k - 120k USD

Join Bitfinex as a Regulatory and Licensing Specialist and shape the regulatory environment for crypto-assets in APAC. Develop strategies, engage with regulators, and collaborate across teams to ensure compliance and innovation.

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Policy and Licensing Advisor

Bitfinex

Location
Brazil
Posted
Salary Range
120k - 180k USD

Join Bitfinex as a Regulatory and Licensing Specialist to shape the regulatory landscape for crypto-assets in APAC. Develop strategies, advocate for policies, and ensure compliance while working remotely with a global team.

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Policy and Licensing Advisor

Bitfinex

Location
Singapore
Posted

Join Bitfinex as a Regulatory and Licensing Specialist to shape the regulatory landscape for crypto assets in APAC, ensuring compliance and fostering innovation while working remotely with flexible conditions.

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Policy and Licensing Advisor

Bitfinex

Location
Argentina
Posted

Join Bitfinex as a Regulatory and Licensing Specialist, focusing on LATAM crypto regulations. Develop strategies, engage with regulators, and ensure compliance while working remotely in a dynamic team environment.

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Policy and Licensing Advisor

Bitfinex

Location
United Kingdom
Posted

Join Bitfinex as a Regulatory and Licensing Specialist to shape the regulatory landscape for crypto-assets in the MENA region through strategic initiatives and compliance efforts.

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Policy and Licensing Advisor

Bitfinex

Location
Brazil
Posted

Join Bitfinex as a Regulatory Compliance Specialist and help shape the regulatory landscape for crypto-asset services in Latin America. Develop strategies, engage with authorities, and ensure compliance while working remotely.

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Account Executive (remote in the US)

Testlio

Location
Brazil
Posted

Testlio seeks Account Executive in the Americas for remote sales role, focusing on growing customers across various industry verticals and segments.

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Enterprise Account Executive (Hotels)

OpenTable

Location
Singapore
Posted

Join OpenTable as Account Executive (Hotels) and drive sales growth through consultative approach, leveraging hotel tech ecosystem expertise.

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Enterprise Account Executive, Acquisition (Remote, Boston)

Grafana Labs

Location
United States of America
Posted
Salary Range
240k - 290k USD

Enterprise Account Executive for North East region, responsible for prospecting and closing new business, managing forecasts, and tracking customer data.

Binance logo

Data Scientist (NLP)

Binance

Job Location

Brunei DarussalamCambodiaGeorgiaJapanArmeniaAzerbaijanBahrainBangladeshBhutanCyprusJordanKorea (South)KuwaitMalaysiaMaldivesNepalPakistanTaiwan, Republic of ChinaTajikistanLao PDRLebanonPhilippinesQatarSri LankaThailandTimor-LesteOmanMongoliaSyrian Arab Republic (Syria)TurkeyUnited Arab EmiratesViet NamAfghanistanChinaKyrgyzstanMyanmarSingaporeTurkmenistanYemenKazakhstanPalestinian TerritoryRussian FederationUzbekistanSaudi ArabiaIndiaIndonesiaIran, Islamic Republic ofIraqIsrael

Job Summary

We are seeking a Data Scientist (NLP) to join Binance's Risk AI team. As a data scientist, you will utilize internal data to train models and develop applications based on these models. You will collaborate with engineers, data analysts, business operations, and product/marketing managers to define and build solutions, features, algorithms, and products. Your responsibilities will include applying Natural Language Processing (NLP) techniques to preprocess, analyse, and extract insights from large textual datasets. You will also develop and fine-tune Large Language Models (LLMs) and multimodal models to derive actionable insights and enhance business decision-making processes. We are looking for someone with a Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field, with at least 3 years of relevant industry experience in AI/ML and Natural Language Processing. You should be proficient in big data technologies such as Apache Spark, Apache Hadoop and Apache Kafka and VectorDB, and have a solid understanding of modern machine learning techniques and mathematical underpinning. Additionally, you should have demonstrated experience in handling severely imbalanced datasets and proficiency in programming languages such as Python, Java, or similar, with experience in machine learning (ML), natural language processing (NLP) libraries, and deep learning frameworks.

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 250 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.

This position will be under our Risk AI team, focusing on NLP-related projects. You will utilize internal data to train models and develop applications based on these models. As a data scientist, you will leverage PB-level data and state-of-the-art machine learning infrastructure to create data products for millions of cryptocurrency users. You will collaborate with engineers, data analysts, business operations, and product/marketing managers to define and build solutions, features, algorithms, and products.

Responsibilities:

    • Apply Natural Language Processing (NLP) techniques to preprocess, analyse, and extract insights from large textual datasets. Develop and fine-tune Large Language Models (LLMs) and multimodal models to derive actionable insights and enhance business decision-making processes.
    • Work closely with business units to identify opportunities for leveraging company data and AI models to drive innovative business solutions and improve decision-making processes.
    • Perform data cleaning, transformation, and preprocessing to create high-quality datasets for analysis and modeling. Ensure data integrity and consistency throughout the process.
    • Conduct exploratory data analysis to uncover patterns, trends, and relationships within the data. Generate visualisations and summaries to effectively communicate findings to stakeholders and support data-driven decision-making.
    • Stay abreast of the latest developments in artificial intelligence, with a particular focus on advancements in multimodal AI, to ensure the integration of cutting-edge technologies and methodologies into our data-driven solutions.
    • Develop and apply feature engineering techniques to create meaningful features that improve the performance of models. This includes deriving new features from raw data, selecting relevant features, and transforming existing features to enhance model accuracy and efficiency.

Requirements:

    • Holds a Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Computational Linguistics, or a related field. 
    • A minimum of 3 years of relevant industry experience in AI/ML and Natural Language Processing is required. Experience in multimodal AI is highly preferred.
    • Proficient in big data technologies such as Apache Spark, Apache Hadoop and Apache Kafka and VectorDB.
    • Deep understanding of modern machine learning techniques and mathematical underpinning, such as classifications, neural networks, hyperparameter optimisation, etc.
    • Solid understanding and practical experience with deep learning architectures, including transformer models (e.g., BERT, GPT). Ability to implement, optimize, and fine-tune these models for various tasks using techniques such as LoRA.
    • Proficiency in programming languages such as Python, Java, or similar, with experience in machine learning (ML), natural language processing (NLP) libraries, and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, SpaCy, and NLTK.
    • Demonstrated experience in handling severely imbalanced datasets. Knowledge of techniques and strategies to address imbalances in data.
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.
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