{"id":2523830,"url":"https://alion.io/job/iunu-applied-machine-learning-engineer-iunu","title":"Applied Machine Learning Engineer - IUNU","company":{"id":9250,"name":"IUNU","domain":"iunu.com","url":"https://alion.io/company/iunu","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":162000,"max_usd":304000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":451},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-14T11:54:13Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T14:50:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"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.\nApplied 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.\nResponsibilities\nStudy and transform data science prototypes\nDesign machine learning systems\nResearch and implement appropriate ML algorithms and tools\nDevelop machine learning applications according to requirements\nSelect appropriate datasets and data representation methods\nRun machine learning tests and experiments\nPerform statistical analysis and fine-tuning using test results\nTrain and retrain systems when necessary\nExtend existing ML libraries and frameworks\nKeep abreast of developments in the field\nRequirements\n3-5 years of proven experience as a Machine Learning Engineer or a similar role\nStrong experience with Deep Learning\nUnderstanding of data structures, data modeling, and software architecture\nDeep knowledge of math, probability, statistics, and algorithms\nAbility to write robust code in Python, Java, and R\nFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)\nExcellent communication skills\nAbility to work in a team\nOutstanding analytical and problem-solving skills\nBSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus\nDiversity\nAt 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. 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