Senior Machine Learning Engineer
atBinance
Jul 03
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?We are searching for an experienced Senior Machine Learning Engineer to join our team and lead the development of ML-driven monitoring and alerting solutions for our production services. The ideal candidate will have deep expertise in machine learning and artificial intelligence, specifically in their application to production-level systems. As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and implementing AI-based monitoring systems that optimize the performance and reliability of our services.
Responsibilities:
- Design and develop advanced AI and machine learning models to monitor, analyze, and predict the performance and behavior of production services
- Implement machine learning models in production systems, including model training, evaluation, and deployment
- Proactively identify, diagnose, and remediate performance bottlenecks and software issues
- Design, develop, and maintain state-of-the-art monitoring tools to ensure optimal performance of our production environment
- Implement robust automation strategies for production testing, streamlining processes, and enhancing overall system efficiency
Requirements:
- 3+ years of experience in data science, machine learning, or artificial intelligence
- Proven track record of developing and deploying machine learning models in a production environment, specifically in system monitoring or related applications
- Strong programming skills in Python or JS, including experience with machine learning libraries
- Deep understanding of a wide array of machine learning algorithms, statistical methods, and their applications to real-world problems
- Expertise in time series analysis and anomaly detection techniques
- Excellent communication and presentation skills, with the ability to convey complex concepts to technical and non-technical stakeholders
- Strong problem-solving and analytical abilities, along with a high level of attention to detail
Listed in: Crypto Jobs, Remote Crypto Jobs, Trading Web3 Jobs, Developer Web3 Jobs, Exchange Crypto Jobs, Python Web3 Jobs, Senior Web3 Jobs, Finance Web3 Jobs, Data Web3 Jobs, Full Time Crypto Jobs.