{"id":119595,"url":"https://alion.io/job/instructure-senior-machine-learning-engineer-learner-modeling","title":"Senior Machine Learning Engineer, Learner Modeling","company":{"id":6996,"name":"Instructure","domain":"instructure.com","url":"https://alion.io/company/instructure","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Budapest, Hungary"],"countries":["HU"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1500000,"max":2200000,"currency":"HUF","period":"month","gross":null,"usd_annual":80568},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Edge AI","optional":true},{"name":"Recommender Systems","optional":true}],"status":"live","first_seen_at":"2026-08-24T12:54:04Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-12T15:27:15Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.\nWe do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:\nOur AI team is where a lot of that gets built: applying advanced AI to real problems in learning, and turning research into product capabilities that educators and students use every day.\nWe're looking for a Senior Machine Learning Engineer to build and own the learner models behind our mastery and progression capabilities. You'll design the models, build the pipelines that train and score them, and own their quality once they're running in production.\nYou'll partner with our learning scientists on what these models should measure, and with our infrastructure team on deployment and operations.\nWhat You'll Do\nDesign and build learner models, including knowledge tracing and longitudinal approaches, that power mastery and progression features surfaced to learners and educators\n\nShape the data foundation for learner modeling: define which signals matter, and build the datasets your models depend on\n\nTranslate mastery and progression definitions into model targets and evaluation criteria, working with learning scientists and product partners\n\nBuild estimation and scoring approaches that hold up on sparse, noisy, and evolving behavioral data\n\nOwn your models in production: training and scoring pipelines, testing, versioning, and monitoring quality once they're live\n\nExplain model behavior, assumptions, and limitations clearly to product, engineering, and learning partners\n\nWhat You'll Need\nSix or more years in applied machine learning, machine learning engineering, or applied research, with ownership of models shipped into real products\n\nDepth in at least one of: sequence modeling, latent-variable or probabilistic modeling, temporal modeling, Bayesian methods, or calibration of model outputs, applied to data that changes over time\n\nStrong Python and production engineering skills: you write the pipelines that train and score your models, and you've shipped models that run on a schedule and serve predictions to real users\n\nStrong evaluation instincts around calibration, uncertainty, stability, fairness, interpretability, and validation strategy\n\nIt Would Be a Bonus If You Had\nExperience with recommender systems, user-state modeling, or personalization at scale\n\nExperience with knowledge tracing, psychometrics, educational measurement, or adaptive learning systems\n\nExperience combining structured knowledge representations, such as skills, standards, or concept graphs, with learner models\n\nExperience designing experiments or observational validation strategies to test whether a model reflects reality\n\nOnsite Collaboration Requirement: This role requires working onsite on Tuesday and Wednesday, with Thursday strongly encouraged as part of our company’s in-person collaboration model.\nWhy Join Us\nJoin us and help shape the future of education by turning cutting-edge AI into reliable product capabilities.\nAt Instructure, we're on a mission to help educators and students learn together, anytime, anywhere, and however works best. You'll join our research-driven team tackling education's biggest challenges with cutting-edge technology.\nWe value diversity, creativity, and passion, and invest in our teams through mentorship, hack weeks, internal conferences, and a culture where innovation thrives. Here, you'll have the chance to build the next generation of LMS features that make a real impact on students and teachers, and do it in a collaborative, supportive environment that encourages experimentation and growth.\nGet in on all the awesome at Instructure!\nWe offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:\nCompetitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.\n\nFlexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.\n\nGenerous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.\n\nComprehensive wellness programs and mental health support\n\nLearning and development resources, including professional development tools and tuition reimbursement, to support your growth\n\nThe technology and tools you need to do your best work\n\nMotivosity employee recognition program\n\nA culture rooted in inclusivity, support, and meaningful connection\n\nWe believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.\nInstructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.\nAll employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.\nAny attempt to misrepresent personal or professional information will result in disqualification.","description_format":"text","description_chars":5586,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Professional development","Wellness"],"hiring_locations":[{"name":"Hungary","iso":"HU","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EdTech Platforms","E-learning","Learning Management Systems"],"lifecycle":[{"event":"open","at":"2026-08-24T12:54:04Z"}],"visa":[],"liveness":{"score":66,"band":"ok","label":"Likely open","p_open":1,"p_active":0.885,"p_room":0.75,"age_days":48,"expected_fill_days":53,"reasons":["conf:3","velocity","win:late"],"computed_at":"2026-10-12T06:55:09Z"},"pay":{"stated_usd_annual":80568,"is_top_pay":false},"html_url":"https://alion.io/job/instructure-senior-machine-learning-engineer-learner-modeling","json_url":"https://alion.io/job/instructure-senior-machine-learning-engineer-learner-modeling.json","meta":{"generated_at":"2026-10-12T15:39:38Z","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":24645,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":6996},"rest":"https://alion.io/mcp/rest/get_company?id=6996"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Finstructure-senior-machine-learning-engineer-learner-modeling"},{"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%2Finstructure-senior-machine-learning-engineer-learner-modeling"},{"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%2Finstructure-senior-machine-learning-engineer-learner-modeling"},{"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/instructure-senior-machine-learning-engineer-learner-modeling\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Finstructure-senior-machine-learning-engineer-learner-modeling"}]}