Senior/Staff Machine Learning Engineer

Summary

Your day-to-day:
Be part of a cross-functional team implementing analytic 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 data, machine learning and data science workflows at Guidewire. Design, build and test AI/ML infrastructure for guidewire models. Accelerate data science teams by building automated workflows and data science tooling solutions for streamlined AI/ML Ops.

Guidewire’s analytics team is the center of excellence for machine learning and AI. This role is a great opportunity for individuals motivated by solving real world business problems for machine learning and data science. Guidewire is the AWS for insurance companies that use our platforms and applications. The AI/ML solutions developed by you and this team will be used by hundreds of insurance companies and impact billions of dollars in annual transactions.

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.

Job Description

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

• 10+ years of software engineering experience, including 5+ years working on applied ML solutions or infrastructure.

• Provide leadership by coaching and mentoring junior developers. 

• Lead engagement between cross-departmental teams to design solutions for data and model orchestration. 

• Deep knowledge of ML Ops good practices for model development, deployment and monitoring.

• Expert in Python programming language. 

• Experience with containerization and orchestration (e.g., Docker, Kubernetes).

• Experience using TeamCity and Terraform for infrastructure setup and CI/CD.

• A strong understanding of cloud technologies such as AWS S3, EC2, RDS, etc.

• 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.

• Strong understanding of model performance evaluation and monitoring.

• Demonstrated ability to embrace AI and apply it to your role as well as use data-driven insights to drive innovation, productivity, and continuous improvement.

Preferred Skills:

• Data engineering experience with SQL, Spark or AWS Glue.

• Experience developing model pipelines using AWS Sagemaker.

• Creating API services for backend application functionality.

• Insurance industry or related experience such as banking and finance

#machinelearning #mlops #dataengineering

The US base salary range for this full-time position is $182,000 - $272,000 . 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 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 busine