Serotonin is hiring a
Machine Learning Engineer in United States

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Machine Learning Engineer closed
🏢 Serotonin
💵 $90k-$150k
📍United States
📅 Posted on Jul 11, 2024


We are seeking a talented Machine Learning Engineer with a strong background in machine learning, data science, and cryptocurrency/blockchain to develop and deploy AI solutions for our products and services.


  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • Proven experience as a Machine Learning Engineer or similar role
  • Strong proficiency in programming languages such as Python, R, or Java
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc
  • Solid understanding of data structures, algorithms, and statistics
  • Ability to work in a fast-paced, dynamic startup environment
  • Excellent problem-solving skills and attention to detail
  • Strong communication and teamwork skills


  • Design, develop, and implement machine learning models and algorithms to solve complex problems in the crypto space
  • Collaborate with cross-functional teams to integrate AI solutions into blockchain-based products and services
  • Preprocess and analyze large datasets to extract meaningful insights and drive data-driven decisions
  • Optimize and scale machine learning models for deployment in production environments
  • Conduct research to stay up-to-date with the latest advancements in AI and blockchain technology
  • Develop and maintain documentation for machine learning models, processes, and experiments
  • Work on improving the performance, accuracy, and reliability of existing AI systems
  • Ensure the security and privacy of data in compliance with industry standards and regulations

Preferred Qualifications

  • Familiarity with blockchain technology and cryptocurrency is highly desirable
  • Experience with big data technologies and tools such as Hadoop, Spark, or similar


Possible benefits include health insurance, retirement benefits, paid time off, remote work, flexible hours, life and disability insurance, bonuses and incentives, professional development opportunities, wellness programs, family and parental leave, but these are not explicitly mentioned in the job description

This job is filled or no longer available

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