{"id":2459018,"url":"https://alion.io/job/expedia-group-machine-learning-engineer-iii-3","title":"Machine Learning Engineer III","company":{"id":1763687,"name":"Expedia Group","domain":"expediagroup.com","url":"https://alion.io/company/expediagroup-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":19,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-10-13T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":55500,"max":78000,"currency":"EUR","period":"year","gross":null,"usd_annual":87279},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-13T16:46:59Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T16:46:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.\nHere, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.\nExpedia Group B2B is the business-to-business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more …\nWe are looking for a Machine Learning Engineer III to join the Expedia Group B2B Applied Machine Learning Team. You will be part of a team that designs, builds, and maintains the infrastructure for deploying ML solutions, managing data pipelines, and optimizing compute resources for our ranking problems, recommendation engines, and pricing optimization systems. Your work will be crucial in ensuring our ML models are efficiently deployed, scaled, and monitored in production environments, contributing substantial value to our partners and EG.\nWe're seeking a passionate and experienced ML engineer to join our Revenue Optimization ML team at Expedia Group. This high-impact role combines infrastructure expertise with applied ML knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations (MLOps). You will be responsible for architecting and implementing robust ML systems, collaborating with data scientists to streamline the model development to production pipeline, and optimizing our ML infrastructure for performance and scalability.\nThis role is well-suited to someone with a solid foundation in at least one of the following areas: software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. Experience or exposure to one or more of the following is valuable: deploying models to production, managing training data pipelines, or optimizing compute resources for low latency inference. We’re looking for someone who can quickly adapt to new technologies, understand the broader context of our ML systems, and deliver high-quality solutions efficiently. While this is primarily an individual contributor role, you will also be expected to mentor junior team members and provide technical guidance that drives both business impact and team growth.\nWe welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems, even if you don’t meet every single requirement listed below. If you believe you can do the job and are excited to grow with us, we’d love to hear from you.\nIn this role, you will:\nDesign and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.\nBuild and maintain efficient data pipelines for large-scale processing and feature engineering.\nOptimize compute resources and improve model serving performance across ML systems.\nImplement robust monitoring, logging, and alerting systems, and contribute to ML Ops practices including CI/CD pipelines.\nCollaborate closely with ML scientists to streamline the model development-to-production workflow.\nResearch and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders.\nExperience and qualifications:\nYou hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.\nYou have 3+ years of experience in Software, Data, or ML engineering roles (preferred).\nYou bring strong problem-solving skills, proficiency in Python, and experience with ML frameworks like TensorFlow or PyTorch.\nYou understand ML algorithms, model architectures, and enjoy building scalable, reliable ML systems.\nYou have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka).\nYou are familiar with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow), and collaborate well across teams.\nThe total cash range for this position in Madrid is €55,500.00 to €78,000.00. Employees in this role have the potential to increase their pay up to €89,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.\nStarting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future.\nBenefits and perks\nExpedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.\nYou can find the benefits for this location and any collective agreement that may apply here.\nAccommodation requests\nExpedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request athttps://expedia.service-now.com/askeg?id=job_accommodation.\nAbout Expedia Group\nExpedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.\nImportant notice\nEmployment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/.\nEqual Opportunity\nExpedia is committed to creating an inclusive work environment with a diverse workforce. 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