{"id":2093983,"url":"https://alion.io/job/abbvie-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":3660,"name":"AbbVie","domain":"abbvie.com","url":"https://alion.io/company/abbvie","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":62,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-08T05:49:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Irvine, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":109500,"max":208500,"currency":"USD","period":"year","gross":null,"usd_annual":208500},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hugging Face","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Datadog","optional":true},{"name":"dbt","optional":true},{"name":"DynamoDB","optional":true},{"name":"Fivetran","optional":true},{"name":"PagerDuty","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T15:57:16Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T01:33:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About AbbVie\nAt Allergan Aesthetics, an AbbVie company, we develop, manufacture, and market a portfolio of leading aesthetics brands and products. Our aesthetics portfolio includes facial injectables, body contouring, plastics, skin care, and more. Our goal is to consistently provide our customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch. For more information, visit https://global.allerganaesthetics.com/. Follow Allergan Aesthetics on LinkedIn.\n Responsibilities\nOwn small to medium components of machine learning systems from technical designthrough implementation and delivery\nTranslate technical requirements into high-quality, maintainable code and deliver workstreamsaccording to plan\nBuild and maintain data pipelines and feature engineering workflows to support machinelearning and AI solutions\nDesign, train, evaluate, and refine machine learning models with minimal supervision, applyingsound statistical and engineering practices\nImplement ML solutions that can be deployed into production environments as microservices,APIs, batch jobs, or streaming components\nSupport production monitoring efforts by helping define and implement metrics for modelperformance, data drift, anomalies, and retraining triggers\nCollaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, andbusiness stakeholders to deliver project objectives\nUnderstand system design, data models, and technical artifacts well enough to contribute toimplementation decisions and tradeoffs\nFollow governance, documentation, coding, and source control standards consistently\nDemonstrate flexibility and proactively support teammates with day-to-day responsibilities asneeded\nClearly document and communicate work progress, technical decisions, and outcomes totechnical and non-technical audiences\n Required Experience & Skills\nCompleted BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science,Engineering, Operations Research, or other quantitative field\n3+ years of practical experience building, evaluating, scaling, and deploying machine learning pipelines with Python\nStrong programming skills in Python and solid understanding of core computer scienceprinciples\nExperience with data manipulation frameworks such as Pandas and PySpark\nExperience with machine learning libraries such as scikit-learn, HuggingFace,TensorFlow/Keras, PyTorch, or MLlib\nExperience with MLOps practices such as automated model deployment, model performancemonitoring, data drift detection\nWorking knowledge of SQL and relational data structures\nAbility to design, train, and evaluate machine learning models using standard best practicessuch as model selection, validation, bias/variance tradeoffs, and performance assessment\nFamiliarity with batch and streaming data pipeline concepts such as ETL, ELT, and stream processing\nExperience working with cloud environments, preferably AWS\nFamiliarity with technologies such as APIs, microservices, Docker, and Kubernetes\nStrong interpersonal, verbal, and written communication skills\nAbility to work effectively in a remote environment using collaboration tools\nPreferred Experience & Skills\nKnowledge in domains such as recommender systems, fraud detection, personalization, and marketing science\nExperience with managing and architecting solutions on AWS\nFamiliarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production\nFamiliarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes,\nEMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools\n Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:\nThe compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.\n\nWe offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.\n\nThis job is eligible to participate in our long-term incentive programs.\n\nNote: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.\nAbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.\nUS & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html\nUS & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:\nhttps://www.abbvie.com/join-us/reasonable-accommodations.html","description_format":"text","description_chars":5424,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Prescription Drugs","Oncology Therapeutics","Neurology & CNS Therapeutics","Immunology & Inflammation Therapeutics"],"lifecycle":[{"event":"open","at":"2026-10-08T16:03:14Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 236 · green card filings: 57","filings_12m":236,"filings_prev_12m":256,"green_card_filings_12m":57,"median_offered_wage_usd":150555,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":57}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":14,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-09T03:03:21Z"},"pay":{"stated_usd_annual":208500,"is_top_pay":true},"html_url":"https://alion.io/job/abbvie-machine-learning-engineer","json_url":"https://alion.io/job/abbvie-machine-learning-engineer.json","meta":{"generated_at":"2026-10-09T03:03:21Z","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","counted_by":"address","units_charged":1,"used_today":1406,"day_limit":5000,"remaining_today":3594,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":3660},"rest":"https://alion.io/mcp/rest/get_company?id=3660"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fabbvie-machine-learning-engineer"},{"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%2Fabbvie-machine-learning-engineer"},{"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%2Fabbvie-machine-learning-engineer"},{"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/abbvie-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fabbvie-machine-learning-engineer"}]}