Senior Machine Learning Engineer, Generative AI - San Mateo, CA

Your day-to-day:

• Be a technical leader for a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry.
• Be a primary stakeholder and key developer for the complete end-to-end GenAI platform at Guidewire.
• Design, test, and build GenAI infrastructure for Guidewire Large Language Models (LLMs).
• Create data solutions, prompt engineering for models, fine-tuning, and deploying LLMs.

Guidewire's GenAI team is the Center of excellence for machine learning and AI. This role is a great opportunity for individuals motivated by learning cutting-edge technologies and their application to solve real-world business problems. Guidewire is the AWS for insurance companies that use our platforms and applications. The GenAI solutions developed by you and this team will be used by hundreds of insurance companies and impact billions of dollars in annual transactions.

Requirements:

• Bachelor's or Master's Degree in Computer Science, or equivalent level of demonstrable professional competency.
• 5+ years of professional experience working in Machine Learning and Data Science.
• Demonstrated leadership experience on technical projects.
• Experience conducting code reviews and being a coach and mentor to other developers.
• Knowledge of ML Ops good practices for model development, deployment, and monitoring.
• Expert in Python programming language.
• A strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.
• Experience developing model pipelines using AWS Sagemaker.
• Experience using statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real-world business problems.
• Deep understanding of neural network and transformer algorithms for large language and chat models.
• Familiarity with the setup and use of various open-source LLM foundation models.
• Prompt engineering and fine-tuning concepts for LLM performance.
• Creating and using vectorized databases for data storage and retrieval.
• Familiarity with various LLM architecture patterns such as RAG and FLARE.
• Understanding of LLM performance evaluation and monitoring using NLP and LLM-assisted metrics.

Preferred Skills:

• Data engineering experience with SQL, Spark or AWS Glue.
• Experience using Docker or Kubernetes to deploy containerized applications.
• Creating APIs services for backend application functionality.
• Experience using TeamCity and Terraform for infrastructure setup and CI/CD.
• Insurance industry or related experience such as banking and finance.

Compensation:

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Be Yourself & Stay Clever

At Guidewire, we value autonomy, empowerment, and inclusivity, which is why we want each of our employees to be heard and celebrated. We're in the business of uplifting people, so they can fulfill their goals and ambitions. So, there's plenty of time and space for you to broaden your skills and experience.

If we've got you excited and you're ready for a career upgrade, then we're eager to hear from you! Get in touch to learn more about the Guidewire team you'll work with.

Our employee culture

https://careers.guidewire.com/culture

Who We Are

https://careers.guidewire.com/about

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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.

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 (650) 356-4940 or [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, call (650) 356-4940 or 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.