Remote Jobs

Binance logo

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.

Full Fabric logo

Senior Account Executive (French Speaker)

Full Fabric

Location
Croatia
Posted

Senior Account Executive for French-speaking markets, driving revenue growth for enterprise ed tech solutions with Full Fabric

Welocalize logo

International SEO Content & Search Specialist

Welocalize

Location
Romania
Posted

International SEO Content & Search Specialist - Optimize content across multiple markets using keyword research, competitor analysis, and search intent optimization.

Welocalize logo

International SEO Content & Search Specialist

Welocalize

Location
Spain
Posted

International SEO Content & Search Specialist at Adapt: drive multilingual SEO strategies, optimize content, analyze performance, and stay up-to-date with industry trends.

Welocalize logo

International SEO Content & Search Specialist

Welocalize

Location
Greece
Posted

International SEO Content & Search Specialist to optimize and manage content across multiple markets, driving international and multilingual SEO strategies.

Zepz logo

Customer Care Executive (Cebu, Philippines)

Zepz

Location
Philippines
Posted

Customer Care Executive at Zepz Group in Cebu, Philippines - manage customer queries, screen identification, review transactions, and advise customers on products.

reserv logo

Transportation Claims Resolution Specialist: APD

reserv

Location
Georgia
Posted

Transportation Claims Adjuster at Reserv: Handle claims, triage critical cases, deliver customer service, and drive process improvements in a fast-growing insurtech company.

Rackspace logo

Policy Management Specialist (Security Risk & Compliance)

Rackspace

Location
Mexico
Posted

Lead security policy management and awareness initiatives at Rackspace Technology, utilizing tools like Archer GRC and platforms such as ProofPoint and KnowBe4 to enhance organizational security and compliance.

Telus Digital logo

Media Search Analyst - English (AU) | Remote

Telus Digital

Location
Australia
Posted

Evaluate music, video, and App Store content using Apple devices. Contribute to improving AI models for major brands through accurate analysis and research.

DevRev logo

Senior Tax Analyst – US & India Taxation

DevRev

Location
India
Posted

Tax Specialist for US & India Taxation at DevRev, leveraging expertise in direct and indirect taxes, compliance, transfer pricing, and tax optimization strategies.

Reddit logo

Staff Community Partnership Manager

Reddit

Location
Canada
Posted
Salary Range
120k - 180k USD

Lead and manage Reddit's largest communities by developing strategies that empower moderators and strengthen community partnerships. Utilize program management skills and data analysis to drive impactful initiatives and build strong relationships with key stakeholders.

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.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.