Senior Machine Learning Engineer

🔥 6 minutes ago

🇺🇸 United States – Remote

💵 $162k - $258k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Guidewire Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

🛡️ Insurance

💰 $750k Series C on 2008-03

Software • Insurance • Cloud Computing

Guidewire Software is a leading provider of software solutions for the property and casualty (P&C) insurance industry. The company offers a comprehensive platform that includes core applications such as PolicyCenter, ClaimCenter, and BillingCenter, as well as advanced analytics and a robust cloud platform. Guidewire focuses on delivering digital transformations, improving operational efficiencies, and enhancing customer service for insurers globally. Through collaborations and partnerships, Guidewire supports a wide range of insurance products and services, including usage-based and embedded insurance. With its commitment to innovation and customer success, Guidewire continues to empower insurers to meet the evolving demands of the industry.

📋 Description

• Lead the design, implementation, and evolution of Guidewire’s GenAI and LLM products • Build data ingestion, feature pipelines, model training, fine-tuning, deployment, and monitoring on AWS • Architect and build ML/LLM pipelines for claim summarization, underwriting assistance, pricing and rating intelligence, and developer productivity tools • Develop and optimize LLM solutions using prompt engineering, RAG, vector databases, and fine-tuning • Collaborate with Product Strategy, PDO, and Professional Services teams on the product roadmap and customer adoption goals • Establish MLOps best practices for CI/CD, experimentation, evaluation, observability, and responsible AI • Ensure models are auditable, secure, and production-ready at scale • Mentor and coach engineers and data scientists • Conduct code and design reviews • Champion performance, reliability, and cost efficiency of AI workloads • Partner with Security, Finance, BizTech, and GTM teams on data governance and security controls • Take ownership of core GenAI platform components and lead rollout of new GenAI use cases

🎯 Requirements

• 5+ years of professional experience in Machine Learning and/or Data Science, including end-to-end delivery of production ML systems • Deep expertise in Python • Experience building scalable ML/LLM services and pipelines, ideally on AWS using S3, EC2, RDS, and SageMaker • Strong understanding of MLOps practices, including CI/CD for ML, experiment tracking, model registries, and drift detection • Hands-on experience with GLM, Random Forest, and XGBoost models • Deep understanding of neural networks and transformer-based architectures for LLMs and chat models • Familiarity with open-source foundation models, fine-tuning, and inference • Experience with prompt engineering, RAG, related LLM architecture patterns, and vector databases • Knowledge of evaluating and monitoring LLM performance using NLP and LLM-assisted metrics • Demonstrated technical leadership, including design decisions, complex engineering efforts, mentoring, and code and architecture reviews • MUST HAVE GUIDEWIRE EXPERIENCE • Bachelor’s or Master’s Degree in Computer Science, or equivalent practical experience (preferred) • Experience with SQL, Spark, or AWS Glue • Experience with Docker and Kubernetes • Experience creating backend APIs to expose ML/LLM services • Familiarity with CI/CD and infrastructure-as-code tools such as TeamCity and Terraform • Background in insurance, banking, or financial services, or interest in becoming fluent in P&C insurance

🏖️ Benefits

• 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 • Health, dental, and vision insurance • Company-sponsored retirement plan • Some roles may be eligible for annual company bonus plan, commissions, and/or long-term incentive awards • In-person orientation process • Disability-related accommodations and support during the hiring process