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ML Engineer II- Gen AI

SummaryYour day-to-day:Be part of a cross-functional team implementing Generative AI (GenAI) solutions for some of the most critical business needs in the insurance industry. You will be a primary stakeholder and key developer for the complete end-to-end GenAI workflow at Guidewire. Design, test and build GenAI infrastructure for guidewire Large Language Models (LLMs). Creating data solutions, prompt engineering for models, fine tuning and deploying GenAI solutions.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.RequirementsJob Description• 3+ years of professional experience working in Machine Learning and Data Science.• Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency.• 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 API 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.The US base salary range for this full-time position is $116,000 - $212,000 + bonus + equity + benefits. 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.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 Accommodations@guidewire.com. 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 Accommodations@guidewire.com 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 GuidewireGuidewire 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.

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What You Should Know About ML Engineer II- Gen AI, Guidewire Software

Join Guidewire as a Machine Learning Engineer II – Gen AI and become an integral part of a dynamic team dedicated to implementing groundbreaking Generative AI solutions for the insurance sector. In this role, you’ll take charge of the entire GenAI workflow, designing and constructing the infrastructure necessary for our Large Language Models (LLMs). Your creative prowess will shine as you build data solutions, engineer prompts for models, and fine-tune and deploy GenAI applications. At Guidewire, we pride ourselves on being the go-to platform for P&C insurers globally, and the solutions you develop will touch the operations of hundreds of insurance companies and influence billions in annual transactions. With at least three years of experience in machine learning and data science under your belt, a degree in Computer Science (or equivalent experience), and proficiency in Python, you’ll thrive in this role. Familiarity with AWS technologies and expertise in machine learning practices will give you an edge. You’ll continually learn and play with cutting-edge technologies, working in a collaborative environment that fosters innovation. If you’re passionate about solving real-world business challenges through AI and want to help shape the future of technology in insurance, let’s chat about this exciting opportunity!

Frequently Asked Questions (FAQs) for ML Engineer II- Gen AI Role at Guidewire Software
What are the responsibilities of a Machine Learning Engineer II – Gen AI at Guidewire?

As a Machine Learning Engineer II – Gen AI at Guidewire, you will be pivotal in designing, testing, and building the GenAI infrastructure for our Large Language Models. Your responsibilities will involve creating data solutions, using prompt engineering techniques, fine-tuning models, and deploying GenAI solutions. You'll also collaborate extensively with a talented cross-functional team to address critical business needs within the insurance industry.

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What qualifications are needed for the Machine Learning Engineer II – Gen AI position at Guidewire?

To qualify for the Machine Learning Engineer II – Gen AI position at Guidewire, you should have at least 3 years of professional experience in machine learning or data science, along with a Bachelor’s or Master’s degree in Computer Science or a related field. Expertise in Python, AWS cloud technologies, and knowledge of ML Ops practices are crucial, as well as a solid understanding of neural networks and LLM algorithms.

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How does the Machine Learning Engineer II – Gen AI role impact the insurance industry?

The Machine Learning Engineer II – Gen AI role at Guidewire has a significant impact on the insurance industry by developing cutting-edge AI solutions that streamline operations and improve efficiency. The GenAI solutions you help create will be used by numerous insurance companies, ultimately influencing billions of dollars in annual transactions, making a tangible difference in their business processes and customer interactions.

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What tools and technologies will a Machine Learning Engineer II – Gen AI use at Guidewire?

In the position of Machine Learning Engineer II – Gen AI at Guidewire, you’ll work with a variety of tools and technologies including Python programming, AWS services like S3, EC2, and RDS, and AWS Sagemaker for model pipelines. You'll also engage with open-source LLM foundation models, build APIs, and utilize Docker or Kubernetes for deployment, ensuring you have the resources to create innovative AI solutions.

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What is the salary range for the Machine Learning Engineer II – Gen AI position at Guidewire?

The salary range for the Machine Learning Engineer II – Gen AI position at Guidewire is between $116,000 and $212,000 per year, in addition to bonuses and equity benefits. This range aims to reflect the qualifications and contributions of the candidate within the context of their specific location in the U.S. Your recruiter will provide more detailed information during the hiring process.

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Common Interview Questions for ML Engineer II- Gen AI
Can you explain your experience with machine learning and how it relates to the Machine Learning Engineer II – Gen AI role?

When addressing this question, outline your background in machine learning, highlighting specific projects or technologies you've worked with that are relevant to your prospective role. Mention any experience with generative AI, large language models, or cloud-based implementations, making sure to connect your experience with the responsibilities outlined for the Machine Learning Engineer II – Gen AI at Guidewire.

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What strategies do you use for fine-tuning machine learning models?

In your response, discuss your methodology for fine-tuning ML models, such as adjusting hyperparameters, employing regularization techniques, and leveraging validation sets to prevent overfitting. Cite any relevant tools or libraries you utilize, particularly those that apply to the work you'll be doing at Guidewire.

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How familiar are you with AWS technologies and their application in machine learning?

Speak confidently about your proficiency with AWS services such as S3, EC2, and Sagemaker. Provide specific examples of how you’ve used these services to deploy machine learning models or manage data storage efficiently. Relating this to how it benefits the Gen AI solutions at Guidewire will strengthen your answer.

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Can you describe a complex problem you solved using neural networks?

In your answer, narrate a specific instance where you utilized neural networks to tackle a real-world problem. Detail the approach you took, the algorithms used, and the outcome. Linking back to the potential applications in the insurance industry could showcase your strategic thinking.

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What is your approach to collaboration in a cross-functional team?

Explain your collaborative methods, emphasizing open communication and sharing knowledge within the team. Automating processes via continuous integration or CI/CD practices can also be highlighted, especially since Guidewire works with various teams on GenAI projects.

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What kinds of performance metrics do you monitor in machine learning models?

Discuss metrics such as accuracy, precision, recall, F1 score, and any LLM-specific metrics you may have used. Make it clear that you consider both technical and business implications when assessing model performance, ensuring they align with Guidewire’s goals.

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How do you handle challenges in data collection or data quality?

Talk about strategies for overcoming data collection issues, such as implementing robust validation checks or exploring alternative data sources. Providing examples will demonstrate your problem-solving skills as they relate to the Machine Learning Engineer II – Gen AI role.

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What is prompt engineering, and why is it important?

Define prompt engineering and its relevance for optimizing the performance of language models. Share any prior experience or strategies you've employed to create effective prompts, especially in the context of generative AI applications.

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Describe a project where you implemented machine learning models from start to finish.

Share a holistic view of a project where you owned the model development cycle. Cover all phases: understanding the business need, data preprocessing, model selection, training, testing, and deployment. Ensuring relevance to the work at Guidewire will resonate well.

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Why are you interested in this Machine Learning Engineer II – Gen AI position at Guidewire?

Convey your enthusiasm for the opportunity to work at Guidewire and around Generative AI. Discuss how your values align with the company’s mission of innovating the insurance industry. Be sure to mention aspects of the role that excite you and how you see yourself contributing to the team.

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Founded in 2001, Guidewire is a software publisher that offers an industry platform for property and casualty insurance carriers in the U.S. and worldwide. The company is headquartered in San Mateo, California.

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Full-time, on-site
DATE POSTED
December 11, 2024

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