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.
Remote Jobs
Product Manager - Employee Training
Restaurant365
- Location
- United States of America
- Posted
- Salary Range
- 99k - 139k USD
Lead the development of Restaurant365's Employee Training module, driving scalable solutions for restaurant operations. Collaborate with teams to define features and ensure alignment with company goals.
Copywriter
Outliant
- Location
- Philippines
- Posted
Join Outliant as a Copywriter to create engaging content for Willow, their telemedicine venture focused on weight loss treatments. Collaborate with teams to maintain brand voice and ensure accurate communications across multiple platforms.
Senior Software Engineer - Integrations
StackAdapt
- Location
- Canada
- Posted
- Salary Range
- 100k - 120k USD
Develop full-stack solutions for StackAdapt's developer ecosystem using modern tech stacks like Ruby on Rails, React, GraphQL, and GoLang. Collaborate with teams to build scalable, well-documented software and contribute to technical planning.
Senior Engineering Manager, Care Finding
Alma
- Location
- United States of America
- Posted
- Salary Range
- 200k - 230k USD
Lead Alma's Care Finding team as an Engineering Manager, driving product development and technical strategy to enhance mental healthcare access. Enjoy a competitive salary and excellent benefits in this remote-first role.
Engineering Manager I - Full Stack
StackAdapt
- Location
- United States of America
- Posted
Lead StackAdapt's engineering team, develop scalable web solutions using modern technologies, and contribute to our innovative advertising platform in a remote-first environment.
Threat Intelligence Analyst
CloudWalk
- Location
- Brazil
- Posted
Join CloudWalk as a Threat Intelligence Analyst to leverage AI in threat detection and analysis, ensuring robust cyber defense against emerging threats.
Senior IT SaaS Administrator
Muck Rack
- Location
- United States of America
- Posted
- Salary Range
- 110k - 132k USD
Join our IT team as a Senior IT SaaS Administrator to manage and optimize SaaS applications, automate workflows, and ensure security compliance across our tech stack. Work with cross-functional teams to enhance end-user experience and contribute to strategic IT plans.
Programmatic Account Manager
StackAdapt
- Location
- United Kingdom
- Posted
Manage client relationships, optimize digital advertising campaigns, and drive revenue growth at StackAdapt with a focus on programmatic media buying and client success.
Revenue Operations Manager
Inworld AI
- Location
- United States of America
- Posted
- Salary Range
- 152k - 204k USD
Manage and optimize marketing and sales automation platforms, drive alignment across GTM teams, analyze performance data, and enhance the tech stack to support growth initiatives.
Global Sales Trainer
Apollo.io
- Location
- United States of America
- Posted
Create engaging training content, host live sessions, and develop certification tracks to help millions of Apollo users master sales strategies. Collaborate with teams to produce impactful educational materials and drive user activation and retention.
Quality Assurance (QA) Analyst
Zepz
- Location
- Philippines
- Posted
Enhance customer service quality by monitoring interactions, providing feedback, and driving continuous improvement within the contact center environment.
Global Sales Trainer
Apollo.io
- Location
- India
- Posted
Create engaging sales training content, host live sessions, and collaborate on educational materials to empower Apollo users across various product lines and use cases.
Principal Software Engineer - Workforce
Restaurant365
- Location
- United States of America
- Posted
- Salary Range
- 132k - 198k USD
Lead software development at Restaurant365, driving engineering excellence and aligning with product goals. Work on cloud-based platforms for the restaurant industry, focusing on high-quality code and strategic technical leadership.
Director - Sales Operations
Vercel
- Location
- United States of America
- Posted
- Salary Range
- 225k - 285k USD
Lead Vercel's Sales Operations by optimizing revenue strategies, managing tech stack, and fostering team growth to drive company success.
Director of Engineering - App
Shippo
- Location
- United States of America
- Posted
- Salary Range
- 210k - 284k USD
Lead Shippo's App engineering strategy, manage teams for billing, orders, and app maintenance, drive customer experience through innovative software solutions. Enjoy comprehensive benefits including healthcare coverage, flexible vacation policies, WFH stipends, and professional growth opportunities.
Director - Customer Success
Vercel
- Location
- United States of America
- Posted
- Salary Range
- 220k - 330k USD
Lead the Customer Success team at Vercel to ensure enterprise customers achieve success with our platform. Manage CSMs, set metrics, drive efficiency, collaborate cross-functionally, and mentor your team while enjoying a comprehensive benefits package including stock options and flexible work arrangements.
Product Manager
Figma
- Location
- United States of America
- Posted
- Salary Range
- 149k - 308k USD
Lead Figma's product strategy by identifying growth opportunities, conducting competitive analysis, and collaborating with design and engineering teams to deliver impactful solutions.
Software Engineering Intern
Twilio
- Location
- Ireland
- Posted
Design and develop software solutions for real-time communications at Twilio as a Software Engineer Intern. Work on distributed systems, contribute to core features, and learn from experienced engineers in a remote-first environment.
Principal Software Engineer - Payroll Engineering
Restaurant365
- Location
- United States of America
- Posted
- Salary Range
- 132k - 198k USD
Lead software development at Restaurant365, driving innovation for restaurant accounting solutions. Collaborate with cross-functional teams, mentor engineers, and ensure high-quality code delivery. Enjoy competitive salary, benefits, and a supportive work environment.
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.
