Machine Learning Engineer

closed
Logo of Serotonin

Serotonin

πŸ’΅ $90k-$150k
πŸ“United States

Job highlights

Summary

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.

Requirements

  • 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

Responsibilities

  • 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

Benefits

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