Staff/Senior Machine Learning Platform Engineer
Staff/Senior Machine Learning Platform Engineer
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$ 144000 - 240000
1 Vacancy
Job Description
Summary
We are seeking a seasoned Staff/Senior Machine Learning Platform Engineer to lead the design development and scaling of our end-to-end ML platform. You will play a critical role in empowering data scientists and ML engineers to build train deploy and monitor machine learning models at scale. The role requires deep expertise in distributed systems infrastructure automation and machine learning workflows.You will work closely with Data Scientists MLOps engineers Data Engineers and Product Engineering teams in abstracting away the complexities ensuring performance and accelerating innovation throughout our ML initiatives.
Job Description
Responsibilities
Architect and guide the design of a scalable and secure ML platform to support the entire ML lifecycle (data ingestion feature engineering model training deployment and monitoring).
Design and implement infrastructure for training models hyperparameter tuning experiment tracking and model registry.
Orchestrate ML workflows using tools like Kubeflow SageMaker MLflow or similar orchestration tools.
Collaborate with cross-functional teams to define best practices for reproducible research model versioning governance and CI/CD for ML.
Collaborate with Data Engineers to facilitate building Data Pipelines for model ready datasets.
Optimize performance of ML workloads across compute and storage layers using cloud-native and open-source solutions.
Lead technical discussions mentor junior engineers and help set the technical vision for the ML platform roadmap.
Ensure compliance with security privacy and regulatory requirements across the ML lifecycle.
Required Qualification
Bachelors or Masters degree in Computer Science Engineering or a related field.
10 years of software engineering experience including 5 years working on ML platforms or infrastructure.
Experience in building large-scale distributed systems and microservices.
Strong programming skills in Python Go or Java.
Experience with containerization and orchestration (e.g. Docker Kubernetes).
Understanding of MLOps tools such as MLflow Kubeflow SageMaker Vertex AI or Databricks
Cloud platform experience (AWS GCP or Azure).
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
Preferred Qualifications
Real-time model inference and streaming ML pipelines experience.
Deep knowledge of model governance reproducibility and monitoring.
Understanding of model performance metrics and drift detection.
Exposure to feature stores (Feast Tecton) and workflow tools (Airflow Argo).
Familiarity with regulatory considerations (model auditability interpretability data privacy laws such as CCPA/GDPR).
Experience working with real-time data pipelines (Kafka Flink Spark Structured Streaming).
Experience using TeamCity and Terraform for infrastructure setup and CI/CD.
Insurance industry or related experience such as banking and finance
What We Offer
A chance to influence and build the ML platform used across the company.
Collaborative and diverse team environment with opportunities to mentor and be mentored.
Competitive compensation equity and benefits package.
Support for continuous learning and development.
Disability Accommodations and Guidewires 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 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 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 and follow us on Twitter: @GuidewirePandC.
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 its applicable to the position.
Required Experience:
Senior IC
Employment Type
Full-Time
