Machine Learning Engineer

IUNU • Full-time • Seattle, WA, US • 1d ago

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.

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.

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

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

Benefits: