Machine Learning Engineer

Unclassified - Redwood City, CA

Full-time

Redwood City, CA

About the position

As a Machine Learning Engineer at Ethereum Technologies LLC, you will play a crucial role in developing and deploying AI-based enterprise applications. This position requires a strong foundation in machine learning techniques and a solid understanding of cloud computing concepts. You will be responsible for analyzing time-series data, ensuring data cleansing and normalization, and implementing data structures and algorithms effectively. Your analytical and problem-solving abilities will be essential as you work on cross-functional teams to deliver innovative solutions. The role also involves understanding various database types and their trade-offs, which will be critical in optimizing application performance. You will be expected to adhere to Agile software development methodologies, ensuring that projects are completed efficiently and effectively. This position is based in Redwood City, CA, and is expected to last for 8 months, with the possibility of extension based on project needs.

Responsibilities

• Develop and deploy AI-based enterprise applications.
• Analyze time-series data for insights and trends.
• Ensure data cleansing and normalization processes are in place.
• Implement data structures and algorithms for optimal performance.
• Collaborate with cross-functional teams to deliver machine learning solutions.
• Understand and apply cloud computing concepts in projects.
• Utilize Agile methodologies for software development.

Requirements

• Bachelor's degree in a Science, Technology, Engineering or Math (STEM) field; graduate degree in STEM or business field preferred.
• Strong analytical and problem-solving abilities.
• Excellent organizational skills and attention to detail.
• Effective interpersonal communication skills.
• Ability to work effectively on a cross-functional team.
• Understanding of cloud computing concepts.
• Knowledge of various database types and their trade-offs.
• Proficiency in data structure and algorithm design and implementation.
• Experience in time-series data analysis, cleansing, and normalization.
• Familiarity with Agile software development methodology.
• Experience building and deploying AI-based enterprise applications.
• Solid understanding of common machine learning techniques, applications, and trade-offs.