{"id":2765835,"url":"https://alion.io/job/ncar-machine-learning-engineer-ii","title":"Machine Learning Engineer II","company":{"id":43167,"name":"NCAR","domain":"ucar.edu","url":"https://alion.io/company/ncar","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boulder, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":113470,"max":141840,"currency":"USD","period":"year","gross":null,"usd_annual":141840},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"CI/CD","optional":true}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-18T07:21:49Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position Type:\nTerm - 6 months or more (Fixed Term)Visa Sponsored Job:\nNoRelocation Assistance Eligible:\nYesHiring Range:\n113,470.00 USD - 141,840.00 USD*Final salary and rates are based on education, experience, and skills relevant to the role.\nApplication Closes at 12:00am MST on:\n2026-11-01About the Role\nGreat Opportunity! We are seeking a Machine Learning Engineer II.This role will independently design and develop advanced machine learning software and systems for Earth System Science applications. Develop robust, scalable, maintainable software to train, evaluate, deploy, and operate machine learning models using large-scale Earth science datasets and high-performance computing resources. Leads technical implementation for projects and collaborates with scientists, software engineers, and domain experts to translate scientific requirements into reliable computational solutions. May contribute to developing established community tools, frameworks, workflows, and infrastructure.\nThis is a Regular, 2-Year Term position.\nJob Description\nKey Responsibilities:\nDesigning and implementing scalable machine learning software and systems to address complex Earth System Science problems. \nTrain, evaluate, and deploy machine learning models and associated software components using modern programming languages, frameworks, and software engineering practices. \nDeveloping robust workflows and infrastructure for machine learning data preparation, model training, evaluation, inference, and deployment. Developing reusable software tools, libraries, APIs, and workflows that enable researchers and developers to incorporate machine learning into Earth System Science applications. \nCollaborating with scientists, software engineers, and domain experts to translate scientific requirements into well-designed, maintainable software solutions. \nAnalyzing and optimizing the performance of machine learning applications, including computational efficiency, memory utilization, I/O, scalability, and GPU utilization\nDevelop and maintain technical documentation, examples, and developer- and user-facing resources for machine learning software and systems.\nMaintaining current knowledge of machine learning engineering practices, software frameworks, computing technologies, and approaches relevant to Earth System Science.\nEducation & Experience REQUIRED:\nBachelor of Science degree and 4 years of related experience, or \nMaster’s Degree; \nor an equivalent combination of education and experience.\nKnowledge, Skills, and Abilities REQUIRED:\nDemonstrated proficiency applying machine-learning methods and frameworks to practical problems, including model training, technical evaluation, and inference.\nProficiency in developing reliable, maintainable software using testing, version control, code review, documentation, and reproducibility practices.\nAbility to independently analyze moderately complex AI/ML models, data, software, and computing problems and make sound technical decisions.\nAbility to translate customer or scientific requirements into scoped technical work and communicate trade-offs to varied audiences.\nPreferred Qualifications\nKnowledge, Skills, and Abilities Desired, not Required:\nExperience implementing and optimizing machine learning workflows for large-scale datasets and high-performance computing environments.\nExperience collaborating effectively with scientists, software engineers, and other technical and domain experts to develop solutions to complex Earth System Science problems.\nExperience leading small technical teams through the software development lifecycle, from requirements and design through implementation, testing, deployment, and maintenance.\nExperience designing and implementing automated workflows for data preparation, model training, evaluation, inference, and deployment\nExperience with software engineering practices for reliable, maintainable scientific software, including testing, continuous integration, version control, documentation, and reproducibility.\nApplication Requirements\nQuestionnaire, Resume/CVFor full consideration, all application materials must be submitted by 12am (MST) at the start of the application deadline. These should highlight how your skills and experiences align with the responsibilities of this position. We recognize that no candidate will meet 100% of the listed qualifications. If you believe your background has prepared you for success in this role, we encourage you to apply.\nSupplemental questionnaires are often requested in lieu of a cover letter, where you address critical skills needed for the position. Your answers will be read and weighed equally to your resume and should provide specific, detailed, and informative responses based on your direct and previous work experiences.\nBackground checks and/or federal screenings are conducted for candidates selected for hire.\nBenefits Overview\nUCAR offers a comprehensive benefits package: health insurance, dental, retirement plan, leave plans, tuition assistance, and employee assistance programs:\nMedical, Dental, Vision, and Short & Long Term Disability Insurance\nGenerous retirement plan - UCAR contributes of 10% of base salary\nTime Off PlansMinimum 20 days of annual PTO\n10 paid holidays\n12 weeks of paid parental leave\nFAMLI Leave \n\nTuition Assistance Program\nPublic Service Loan Forgiveness (PSLF) eligible employer\nUCAR is an Equal Opportunity Employer and welcomes applications from all individuals. We do not discriminate on the basis of race, age, sex, gender identity, disability, veteran status, or any other characteristic protected by law. Applicants are not required to provide age-related information (like date of birth or graduation dates) in initial submissions.\nFor sponsored positions: UCAR can sponsor individuals for H-1B status only if they are already in the U.S. in H-1B status or another visa status that allows them to change to H-1B status within the U.S. UCAR is unable to sponsor new H-1B visas for individuals who are outside the U.S. and need to obtain H-1B status through Consular Processing.\nWhile UCAR does not prohibit the use of AI tools in job applications, we strongly recommend that applicants submit primarily original work.\nAll roles require compliance with U.S. export control regulations and work location requirements. All hybrid staff are expected to work on-site approximately 3 days per week.","description_format":"text","description_chars":6401,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Relocation assistance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Environmental Science","Research Institutes"],"lifecycle":[{"event":"open","at":"2026-10-17T03:52:50Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":11,"reasons":["conf:1","win:early"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":141840,"is_top_pay":false},"html_url":"https://alion.io/job/ncar-machine-learning-engineer-ii","json_url":"https://alion.io/job/ncar-machine-learning-engineer-ii.json","meta":{"generated_at":"2026-10-18T09:32:53Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14142,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":43167},"rest":"https://alion.io/mcp/rest/get_company?id=43167"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fncar-machine-learning-engineer-ii"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fncar-machine-learning-engineer-ii"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fncar-machine-learning-engineer-ii"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ncar-machine-learning-engineer-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fncar-machine-learning-engineer-ii"}]}