Machine Learning Engineer

iUNUSeattle, WA
69d

About The Position

At IUNU ('you knew'), we're revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking a Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.

Requirements

  • 3-5 years of proven experience as a Machine Learning Engineer or a similar role
  • Strong experience with Deep Learning
  • Understanding of data structures, data modeling, and software architecture
  • Deep knowledge of math, probability, statistics, and algorithms
  • Ability to write robust code in Python, Java, and R
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent communication skills
  • Ability to work in a team
  • Outstanding analytical and problem-solving skills
  • BSc in Computer Science, Mathematics, or a similar field; a Master's degree is a plus

Responsibilities

  • Study and transform data science prototypes
  • Design machine learning systems
  • Research and implement appropriate ML algorithms and tools
  • Develop machine learning applications according to requirements
  • Select appropriate datasets and data representation methods
  • Run machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results
  • Train and retrain systems when necessary
  • Extend existing ML libraries and frameworks
  • Keep abreast of developments in the field

Benefits

  • Comprehensive benefits, including healthcare and generous paid leave
  • Opportunities for career growth within a fast-growing and innovative company
  • Competitive Paid Time Off (PTO) policy

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Publishing Industries

Education Level

Bachelor's degree

Number of Employees

51-100 employees

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