Remote Jobs

Goodnotes logo

Lead Software Engineer, Windows

Goodnotes

Location
Brunei Darussalam
Posted

Windows Lead Engineer: Collaborate on cross-platform technologies, lead user-facing features, and architect scalable solutions.

Emburse logo

Senior Lead Implementation Consultant

Emburse

Location
United Kingdom
Posted

Implementation Consultant at Roboflow: Configure Emburse software, provide solution support, and promote best practices.

reserv logo

Claims Team Lead, Litigation

reserv

Location
Georgia
Posted

Claims Team Lead, Litigation at Reserv: Automate claims processing using AI and automation tech, lead team of adjusters, and drive efficiency and simplicity in claims.

ElevenLabs logo

Enterprise Growth Marketing Lead

ElevenLabs

Location
Japan
Posted

Accelerate Enterprise sales in Japan as a Technology marketer at ElevenLabs, driving growth strategy and nurturing pipeline.

Myriad360 logo

Safety Officer with Data Center experience

Myriad360

Location
United States of America
Posted
Salary Range
110k - 130k USD

Safety Officer: Develop and enforce site-specific safety plans, conduct weekly safety seminars, and ensure compliance with OSHA standards.

brightwheel logo

Business Development Lead - Education

brightwheel

Location
United States of America
Posted
Salary Range
250k - 250k USD

Lead the expansion of Brightwheel's curriculum and assessment offerings into Education by developing strategic partnerships, driving sales strategies, and closing high-value contracts. Work in a dynamic remote environment with a focus on improving early education opportunities.

Airtm logo

KYB & KYV Compliance Lead

Airtm

Location
India
Posted

KYB & KYV Compliance Lead at Airtm - Remote role requiring expertise in compliance, risk management, and fintech innovation.

Creatio logo

Technical Lead (.NET/Angular)

Creatio

Location
Poland
Posted

Technical Lead (.NET/Angular) job in Warsaw, Poland - Develop integrations with external products and Creatio interfaces

Nuna logo

Lead Product Manager, Nuna App

Nuna

Location
United States of America
Posted
Salary Range
224k - 250k USD

Lead product initiatives for Nuna's innovative digital health experiences, driving execution and shaping the future of patient-centered care.

Binance logo

Lead Data Scientist (Content, Feeds, Recommendation)

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

Binance is seeking a Lead Data Scientist (Content, Feeds, Recommendation) to develop data products that drive business impact. The role involves designing and managing search recommendation services and models, leveraging rich data and state-of-the-art machine learning infrastructure. As a key member of the team, you will collaborate with engineers, data analysts, and product/marketing managers to define and build solutions, features, algorithms, and products based on our rich data and cutting-edge machine learning technology. The ideal candidate should have stellar machine learning skills, strong communication capabilities, and experience working in cross-functional teams. This is a great opportunity to enhance your machine learning/data science skills in blockchain-based technology while making a real impact globally.

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.

Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations.

As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users. You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology.  
 
To be successful in this role, you must be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams (e.g. with data users from different marketing and consumer team). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally.

Responsibilities:
- Responsible for designing and managing search recommendation services and models 
- Knowledge of machine learning powered personalization methods, design patterns and tools
- In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level
- Drive the development of core modules with data-driven strategy to maximize the impact
- Identify the needs and opportunities, define success metrics with Business and Product management teams

Requirements:
- MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 8 years of relevant industry experience
- Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
- Bilingual English/Mandarin is required to be able to coordinate with internal and external stakeholders.
- Experienced in leading a team
- Experience with application development practices at scale
- Good global team collaboration skills and experiences are good add-ons as well
- Publication record at top conferences and journals is a plus


We have multiple openings available and many more are coming due to our rapid growth of the business. Sample projects include:
 
- User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service
- Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.
- Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users
- Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis
 
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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