{"id":2117193,"url":"https://alion.io/job/guidewire-ml-platform-engineer","title":"ML Platform Engineer","company":{"id":6488,"name":"Guidewire","domain":"guidewire.com","url":"https://alion.io/company/guidewire","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"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":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":132000,"max":228000,"currency":"USD","period":"year","gross":null,"usd_annual":228000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Feature Store","optional":true},{"name":"Spark","optional":true},{"name":"TeamCity","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-08T23:30:25Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-10T21:55:43Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Summary\nAs an ML Platform Engineer, you'll help build and evolve the infrastructure that enables machine learning teams to develop, deploy, and operate models efficiently at scale. You'll work closely with Data Scientists, Data Engineers, MLOps engineers, and Product Engineering teams to build reliable, secure, and scalable ML platform capabilities.Job Description\nWhat you'll do\nKey responsibilities include:\nDesign, develop, and maintain components of a scalable and secure ML platform supporting the machine learning lifecycle, from data ingestion and model training to deployment and monitoring.\n\nBuild infrastructure for model training, experiment tracking, hyperparameter tuning, and model registry using tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar technologies.\n\nDevelop and maintain automated ML workflows and CI/CD pipelines for machine learning applications.\n\nCollaborate with Data Scientists and Data Engineers to build reliable, model-ready datasets and improve the ML development experience.\n\nHelp optimize ML workloads across cloud infrastructure, compute, and storage to improve scalability and efficiency.\n\nContribute to platform reliability by implementing monitoring, logging, testing, and operational best practices.\n\nParticipate in design discussions, code reviews, and technical planning while contributing to engineering best practices.\n\nEnsure platform components meet security, privacy, and compliance requirements.\n\nAt Guidewire, we foster a culture of curiosity, innovation, and responsible AI. We encourage engineers to leverage emerging AI capabilities and data-driven insights to improve engineering productivity and deliver secure, scalable solutions for the insurance industry.\nWhat You'll Bring\nRequired Qualifications\nDemonstrated ability to embrace AI and apply it in day-to-day engineering work to improve productivity and software quality.\n\nBachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\n\n3+ years of software engineering experience, including experience building or supporting ML platforms, data platforms, or cloud-native applications.\n\nStrong programming skills in Python, Go, or Java.\n\nExperience with Docker and Kubernetes or similar container orchestration technologies.\n\nFamiliarity with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.\n\nExperience working with cloud platforms such as AWS, Azure, or GCP.\n\nBasic understanding of machine learning workflows and common algorithms.\n\nStrong communication, collaboration, and problem-solving skills.\n\nPreferred Qualifications\nExperience deploying and monitoring machine learning models in production.\n\nFamiliarity with feature stores, workflow orchestration tools (Airflow, Argo), or model monitoring solutions.\n\nExposure to streaming technologies such as Kafka or Spark.\n\nExperience with Infrastructure as Code and CI/CD tools such as Terraform and TeamCity.\n\nFamiliarity with ML governance, reproducibility, and model lifecycle management.\n\nExperience in the insurance, financial services, or another regulated industry.\n\nYour Impact\nDuring your first six months, you will:\nDeliver core ML platform capabilities that improve the productivity of machine learning teams.\n\nCollaborate with cross-functional teams to build scalable, reliable, and secure ML infrastructure.\n\nContribute to automation, operational excellence, and engineering best practices across the ML platform.\n\nHelp improve the developer experience for building, deploying, and managing machine learning models.\n\nSupport Guidewire's AI initiatives by delivering robust platform capabilities that enable teams to build and operate ML solutions efficiently.\n\nThe US base salary range for this full-time position is $132,000 - $228,000. Your base pay will depend on your experience, skills, education, training, and location among other factors. All full-time positions or part-time roles working 30 hours or more a week at Guidewire are eligible for benefits that support their health and well-being including health, dental, and vision insurance, paid time off, and a company sponsored retirement plan. In addition, some roles may be eligible for the annual company bonus plan, commissions, and/or long term incentive awards which are contingent on a variety of factors including, but not limited to, company and employee performance.\n\nAbout Guidewire\nGuidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.\nAs a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.\nFor more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.\nGuidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.\nGuidewire is proud to be a disability inclusive employer. We are committed to providing individualized accommodations and support to candidates for any part of our hiring process. If you think you may need disability-related accommodations, please email EmployAbility at , our disability partner, or schedule a call with an EmployAbility expert (calendar booking slot) for a confidential conversation.","description_format":"text","description_chars":6192,"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":[]},"benefits":["Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Predictive Analytics","Property & Casualty Insurance","InsurTech"],"lifecycle":[{"event":"open","at":"2026-10-08T23:30:25Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":25,"reasons":["conf:7","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":228000,"is_top_pay":true},"html_url":"https://alion.io/job/guidewire-ml-platform-engineer","json_url":"https://alion.io/job/guidewire-ml-platform-engineer.json","meta":{"generated_at":"2026-10-11T00:35:28Z","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":528,"day_limit":5000,"remaining_today":4472,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":6488},"rest":"https://alion.io/mcp/rest/get_company?id=6488"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fguidewire-ml-platform-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%2Fguidewire-ml-platform-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%2Fguidewire-ml-platform-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/guidewire-ml-platform-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fguidewire-ml-platform-engineer"}]}