Guidewire Software Logo

Guidewire Software

Machine Learning Engineer III

Reposted 2 Days Ago
Remote
Hiring Remotely in USA
128K-192K Annually
Mid level
Remote
Hiring Remotely in USA
128K-192K Annually
Mid level
Join a team focusing on end-to-end ML Ops for the insurance sector. Develop and deploy ML solutions, build infrastructure, and solve business challenges using advanced technologies.
The summary above was generated by AI

Summary

Join Guidewire’s Product Strategy team in San Mateo, where we drive operational excellence and transformative innovation by embedding AI and GenAI across our product portfolio. Our mission is to deliver secure, scalable, and efficient solutions that create measurable value for customers worldwide. You’ll collaborate in a culture that values curiosity, teamwork, and continuous improvement, working with cutting-edge technologies to shape the future of insurance technology.
As a Machine Learning Engineer III, you will be a primary stakeholder and key developer for the complete end-to-end ML Ops lifecycle at Guidewire. This role is critical to designing, testing, and building infrastructure for Guidewire’s AI and ML models, creating data solutions, developing automated systems, and deploying models at scale. We seek a passionate engineer who thrives on solving complex problems and is excited to contribute to Guidewire’s mission of transforming the P&C insurance industry through innovation and customer-centricity.

Job Description

What you’ll do
  • Lead the design, development, and deployment of robust ML Ops infrastructure to support Guidewire’s AI and ML initiatives.

  • Build and maintain scalable data pipelines and automated systems for model training, testing, and deployment.

  • Collaborate with cross-functional teams to deliver secure, reliable, and efficient AI solutions that address evolving customer needs.

  • Develop and implement best practices for monitoring, versioning, and maintaining ML models in production environments.

  • Drive adoption of AI and GenAI capabilities across Guidewire’s product portfolio, supporting operational excellence and transformative innovation.

  • Contribute to the launch of new AI-powered products and features, ensuring measurable value and customer success.

  • Mentor and support team members in AI/ML engineering practices and foster a culture of continuous learning.

  • At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

What you’ll bring
  • Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

  • Strong experience in ML Ops, including designing and deploying end-to-end machine learning pipelines.

  • Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).

  • Solid understanding of data engineering, model monitoring, and CI/CD for ML systems.

  • Excellent problem-solving skills, collaboration, and communication abilities.

  • Ability to work in a fast-paced, agile environment and adapt to evolving priorities.

  • Commitment to Guidewire’s values of curiosity, collaboration, and customer-centricity.

Preferred
  • Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred or equivalent experience.

  • Experience with insurance technology, large-scale data systems, or regulated industries.

  • Familiarity with GenAI, data privacy, and security best practices.

Your Impact

We believe in clarity and setting you up for success. In your first six months, you’ll lead the development and deployment of ML Ops infrastructure for new AI-powered products, ensuring secure, scalable, and efficient operations. You’ll deliver measurable outcomes by enabling rapid model iteration, reducing deployment times, and supporting Guidewire’s ambitious AI adoption goals. Your work will directly support Guidewire’s mission to deliver transformative innovation and measurable value to customers, influencing the future direction of our products and the broader insurance industry.

What’s in it for you

The people we employ give their all, and in return, we offer flexibility wherever we can, such as:

  • Flexible work environment

  • Health and Wellness benefits

  • Paid time off programs including volunteer time off

  • Market-competitive pay and incentive programs

  • Continual development and internal career growth opportunities.

All new hires participate in our in-person orientation process, designed to help you connect, learn, and thrive from day one.

    The US base salary range for this full-time position is $128,000 - $192,000 . 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.

    Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to [email protected]. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, e-mail [email protected] to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.

    About Guidewire

    Guidewire 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.

    As 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.

    For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.

    Guidewire 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.

    Top Skills

    AWS
    Aws Glue
    Aws Sagemaker
    Docker
    Ec2
    Kubernetes
    Python
    Rds
    S3
    Spark
    SQL
    Teamcity
    Terraform

    Similar Jobs

    2 Days Ago
    Easy Apply
    Remote
    United States
    Easy Apply
    170K-215K Annually
    Mid level
    170K-215K Annually
    Mid level
    Artificial Intelligence • Fintech • Healthtech • Software
    The Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.
    Top Skills: DjangoGenerative AiLarge Language ModelsPythonReactTypescript
    An Hour Ago
    Easy Apply
    Remote
    USA
    Easy Apply
    122K-179K Annually
    Senior level
    122K-179K Annually
    Senior level
    Consumer Web • Healthtech • Professional Services • Social Impact • Software
    As a Business Operations Manager, lead cross-functional initiatives, manage operational workflows, mentor team members, and design scalable systems to improve efficiency and achieve business objectives.
    An Hour Ago
    Easy Apply
    Remote
    United States
    Easy Apply
    151K-189K Annually
    Senior level
    151K-189K Annually
    Senior level
    Healthtech • Software • Telehealth
    Lead commercialization efforts, develop go-to-market strategies, utilize data analysis for decision making, and build cross-functional relationships to achieve product launch success.
    Top Skills: Data AnalysisMarket ResearchProduct Marketing Strategies

    What you need to know about the Los Angeles Tech Scene

    Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

    Key Facts About Los Angeles Tech

    • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
    • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
    • Key Industries: Artificial intelligence, adtech, media, software, game development
    • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
    • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
    • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account