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.

Contentsquare logo

Senior Enterprise Account Executive

Contentsquare

Location
United States of America
Posted
Salary Range
140k - 150k USD

Drive revenue growth in North America as a Sr. Enterprise Account Executive at Contentsquare. Manage the full sales cycle, build relationships with senior executives, and promote our value proposition while enjoying competitive benefits including remote work flexibility and stock options.

Emburse logo

Senior Account Executive - Enterprise

Emburse

Posted
Salary Range
125k - 125k USD

Join Emburse as an Account Executive to lead the sale of our innovative expense management solutions, focusing on large corporations. Develop strategies to exceed sales targets by leveraging your expertise in financial SaaS and building influential relationships with key clients.

Grafana Labs logo

Commercial Account Executive - Emerging Markets

Grafana Labs

Location
United Kingdom
Posted

Commercial Account Executive job in Dubai & Middle East, managing forecasts, customer data, and product demos for Grafana Cloud & Enterprise.

Restaurant365 logo

Account Executive - AP Payments Growth

Restaurant365

Location
United States of America
Posted
Salary Range
65k - 70k USD

Sell AP Payments solutions to restaurant accounting customers at Restaurant365, manage sales cycles, generate revenue opportunities, maintain client relationships, conduct industry research, and leverage comprehensive benefits including medical coverage, 401k matching, equity options, and unlimited PTO.

Twilio logo

Account Executive, Nordics & Benelux

Twilio

Location
United Kingdom
Posted

Sell high-value Enterprise prospects and existing customers as an Account Executive at Twilio, leveraging 7+ years of sales experience and expertise in solution-based selling.

Rackspace logo

Sales Executive IV - San Antonio, TX

Rackspace

Location
United States of America
Posted

Sales Executive IV at Rackspace - drive business growth through customer relationships and solutions

Cyderes logo

Enterprise Account Executive - NY/NJ

Cyderes

Location
Jersey
Posted

Enterprise Account Executive - drive revenue growth and deliver exceptional value to large enterprise organizations through comprehensive managed security services and professional security services offerings.

Twilio logo

Strategic Account Executive - SEA

Twilio

Location
Singapore
Posted

Strategic Account Executive - SEA at Twilio, leading relationships with large-scale customers in Southeast Asia, managing accounts, developing strategy, and partnering with cross-functional teams.

Creatio logo

Enterprise Account Executive Financial Services

Creatio

Location
Germany
Posted

Drive revenue growth as an Enterprise Account Executive by leveraging your experience in SaaS platform sales into large enterprises within the Financial Services industry. Join our innovative team at Creatio to make an immediate impact.

Shopify logo

Global Accounts, Senior Account Executive – EMEA

Shopify

Location
Cameroon
Posted

Support high-growth merchants by building relationships and providing solutions as a Senior Accounts Executive at Shopify. Collaborate internally and externally to ensure customer success and achieve sales targets.

Planet logo

Account Executive, Defence & Intelligence

Planet

Location
Germany
Posted

Remote Account Executive job at Planet Labs Europe, with experience selling to government customers and navigating procurement processes.

Restaurant365 logo

Senior Financial Analyst - Sales & Marketing (FP&A)

Restaurant365

Location
United States of America
Posted
Salary Range
79k - 118k USD

Senior Financial Analyst at Restaurant365: Drive revenue growth and cost optimization with financial analysis and reporting.

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.