ai analyst backend bitcoin blockchain community manager crypto cryptography cto customer support dao data science defi design developer relations devops discord economy designer entry level erc erc 20 evm front end full stack gaming ganache golang hardhat intern java javascript layer 2 marketing mobile moderator nft node non tech open source openzeppelin pay in crypto product manager project manager react refi research ruby rust sales smart contract solana solidity truffle web3 py web3js zero knowledge
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Bangkok, Thailand |
| |||
Genies | Remote | $36k - $56k | |||
Token Metrics | Houston, TX, United States | $88k - $119k | |||
Zscaler | Remote | $164k - $235k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Tether | Madrid, Spain | $90k - $150k | |||
MoonPay | London, United Kingdom | $96k - $108k | |||
Genies | Remote | $36k - $56k | |||
Paystand | Santa Cruz, CA, United States | $84k - $100k | |||
Affine.io | Remote | $150k - $500k | |||
Affine.io | Remote | $140k - $250k | |||
Genies | Remote | $36k - $56k | |||
Genies | Remote | $36k - $56k | |||
Brave | Remote | $126k - $131k | |||
travoom | Austin, TX, United States | $92k - $125k | |||
MoonPay | United Kingdom | $96k - $108k |
Machine Learning Engineer, NLP
Taiwan, Taipei / Thailand, Bangkok / Australia, Brisbane / Australia, Melbourne / Australia, Sydney / Indonesia, Jakarta / Hong Kong / Asia
Engineering â Data Science/AI /
Full-time: Remote /
Remote
Apply for this job
Binance is a leading global blockchain ecosystem behind the worldâs largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 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.
About the Role
As a Machine Learning Engineer, you will leverage rich datasets at petabyte scale and state-of-the-art machine learning infrastructure to develop AI-driven products used by tens of millions of cryptocurrency users. You will collaborate closely with engineers, data analysts, business operations, and product managers to define and deliver solutions, features, algorithms, and products powered by advanced machine learning and data technologies.
Responsibilities:
- Apply NLP techniques to preprocess and analyze large-scale textual data, developing and fine-tuning Large Language Models (LLMs) and multimodal models to generate actionable business insights.
- Design, build, and maintain end-to-end machine learning pipelinesâincluding data ingestion, cleaning, feature engineering, model training, evaluation, deployment, and monitoring
- Lead the deployment of ML models in production environments with a focus on scalability, reliability, availability, and low-latency inference, leveraging cloud infrastructure for optimal performance.
- Collaborate with business and technical stakeholders to identify AI opportunities, align initiatives with organizational goals, and communicate insights effectively through data analysis and visualization.
- Stay abreast of the latest AI advancements, particularly in multimodal AI, to continuously integrate cutting-edge technologies into solutions.
- Explore the use of agentic AI to automate detection and monitoring within risk management systems, improving accuracy and response times.
Requirements:
- Minimum 4 years of industry experience in AI/ML, preferably focused on NLP and/or multimodal AI, with a Masterâs degree or higher in Computer Science, Data Science, or related fields.
- Proficient in big data technologies (e.g., Apache Spark, Hadoop, Kafka, VectorDB) or equivalent platforms.
- Skilled in programming languages such as Python or Java, with hands-on experience in ML/NLP libraries and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn, SpaCy, NLTK).
- Strong understanding of modern machine learning and deep learning techniques, including transformer architectures (BERT, GPT), hyperparameter optimization, and methods for handling imbalanced datasets.
- Experience optimizing and deploying ML models for low-latency inference in production, familiar with end-to-end ML deployment processes including version control (Git), continuous integration/continuous deployment (CI/CD), and managing multiple environments (dev, QA, staging, production).
- Experience with productionising agentic AI systems or similar autonomous AI solutions is a plus.
- Prior experience in e-commerce or technology sectors is highly desirable.
Preferred
Why Binance
⢠Shape the future with the worldâs 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Apply for this job
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.