Applied Machine Learning Engineer
Seattle Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at IUNU. Seattle · full-time · no salary stated · we estimate $206,300–$225,000.
Estimated pay
IUNU has not published a salary for this role. The figure below is our estimate, not theirs.
$206,300 – $225,000
What the middle half of mid-level machine learning engineering roles in Seattle paid, among postings that did state a salary.
Worked out from 9 postings that stated pay, median $218,200. Last updated Oct 22, 2026.
RoleMachine Learning Engineering
SeniorityMid-level
LocationSeattle
EmploymentFull-time
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Turn data science prototypes into machine learning systems and choose suitable algorithms and tools
- Build machine learning applications to meet requirements, selecting datasets and ways to represent data
- Test models, analyze results statistically and tune their performance
- Train and retrain systems, and expand existing machine learning libraries and frameworks
- Keep up with machine learning developments and apply relevant advances to your work
What you bring
- Three to five years in machine learning engineering or a comparable role, with substantial deep learning experience
- Strong grounding in math, probability, statistics and algorithms, plus knowledge of data structures and software architecture
- Ability to write reliable code in Python, Java and R, and experience with machine learning frameworks such as Keras or PyTorch
- A bachelor’s degree in computer science, mathematics or a similar field
Who this fits
This role suits an engineer who combines statistical analysis and programming with practical model development. You’ll work on applications for greenhouse operations.
From the employer
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 an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Applied 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
Requirements
Diversity
At IUNU, we’re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.
Applied 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
Diversity
At IUNU, we’re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.